Conference talk
A Framework for Informed Choices in AI-Powered Translation
Terminology, Translation and Language Technologies
Conference session ↗FOR PEOPLE WHO CAN’T HELP ASKING “WHAT IF?”
Big questions. Unexpected connections. A little wonder. Explore discovery leads with primary sources you can follow yourself.
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DISCOVERY BACKLOG
Questions to explore, with labeled metadata and honest publisher attribution. Presentation dates stay separate from discovery dates.
Conference talk
Terminology, Translation and Language Technologies
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Artificial Intelligence (AI) in Technical Communication
Conference session ↗Conference talk
Artificial Intelligence (AI) in Technical Communication
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Content Delivery
Conference session ↗Community signals
At the end of the day, all I ever seem to use is the chat completion API with structured outputs turned on. Despite my "basic" usage, I am employing tool use, recursive conversations, RAG, etc. I don't see the value in outsourcing state management of my "agent" to a 3rd party.
Community lead ↗Community signals
We're ingesting around 30m to 50m pages a day so have learned a lot about what blocks AI crawlers and agents. And I wanted to share some guidelines on how to make sure your startup or documentation or other content shows up as well as possible for agent use
Community lead ↗Conference talk
DERCOM
Conference session ↗Conference talk
Artificial Intelligence (AI) in Technical Communication
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Legal Requirements and Standards
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Conference talk
As generative AI lowers the entry barrier for automated translation, a growing number of enterprises are moving away from established workflows with language-service providers toward self-made AI solutions and in-house translation pipelines. Driven by the promise of drastic cost reduction, these initiatives often suff…
Conference session ↗Research & methods
To address these challenges, we explore an AI-era publishing paradigm in which both human and AI scientists participate as authors and readers, and papers evolve through continuous, feedback-driven iteration. We propose AiraXiv, an AI-driven open-access platform built on open preprints, AI-augmented analysis and revie…
Academic paper ↗Research & methods
Table 5. Furthermore, to facilitate robust content ... LLM vs. Human ... LLM vs. Human ... Reference Cov. ... Table 7: Comparison of open source and closed source models on SurveyBench. ... As shown in Fig. 5, we have provided the ... MLLMs to these practical scenarios. For instance, ... Figure 4: Comparisons of surve…
Academic paper ↗Community signals
https://www.linkedin.com/posts/ali-hamie_im-an-engineer-at-m · How are you handling this
Community lead ↗Community signals
Quanstruct is available as a cloud service to start, targeting technical writers, content writing, professional services, and product teams. Traditional generative AI tools risk hallucinating critical API & SDK fields, even with RAG based approaches. Purely agent-based approaches risk providing unpredictable output th…
Community lead ↗Community signals
What AI does is remove a bunch of the humiliating, boring parts of being junior: <strong>hunting for the right API by cargo-culting Stack Overflow, grinding through boilerplate, getting stuck for hours on a missing import</strong>. If a half-decent model can collapse that search space for them, you get to spend ...
Community lead ↗Community signals
Before people get angry with me... there's plenty of small tells, starting with section headings, a lot of linguistic choices, and low information density... but more importantly, the author openly says she writes using LLMs: https://www.sh-reya.com/blog/ai-writing/#how-i-write-with-ll · Just ...
Community lead ↗Research & methods
machine learning and Computer Vision. At eSuccess AI, Parth works on building advanced legal intel- ligence systems powered by LLMs and retrieval-augmented architectures. His current interests include · structured legal representations, legal data models, and domain-adapted language models.
Academic paper ↗Research & methods
<strong>without detailed technical elaboration</strong>. Given the · rapid progress in AI and the expanding research · landscape, we primarily focus on works published · after 2022, with earlier studies receiving less at- tention. To emphasize areas that closely mimic · the human research process, some ...
Academic paper ↗Community signals
We are launching Brewly.ai today · It’s <strong>an AI newsletter creator for any topics you want to deep dive in</strong>. You can set quality requirements or special instructions for the content, authors or sources you want to see, Brewly will expand your topics into a set of sub-topics/knowledge paths, ...
Community lead ↗Community signals
This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria,…
Community lead ↗Community signals
Excited to share Nanonets-OCR-s, a powerful and lightweight (3B) VLM model that converts documents into clean, structured Markdown. This model is trained to understand document structure and content context (like tables, equations, images, plots, watermarks, checkboxes, etc.). Key Features: ...
Community lead ↗Community signals
The platform is fully functional, hosted on Hugging Face, built using Flask, Firebase, Cohere, Sapling, Winston AI, and is designed to scale or monetize quickly · Currently pre-revenue, but the structure and pricing logic are already in place for premium tiers
Community lead ↗Conference talk
Legal Requirements and Standards
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International Management
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Research & methods
the AiraXiv masterbrain parses the content into · a machine-readable multimodal format using · MinerU (Niu et al., 2025). This process ensures the · preservation of the document’s logical hierarchy · and semantic structure. Safety Assurance. To support secure deploy- ment in open publishing settings, AiraXiv performs ·
Academic paper ↗Research & methods
hallucinate content (Ji et al., 2023). This approach · is the industry standard used by virtually all AI- assisted marketing services. See prompt in A.1 for · how we formulated this task. 3.2 · Knowledge Graph Enriched · The second method suggests enriching the prompt · using data from a company’s knowledge graph. A ·…
Academic paper ↗Research & methods
Large language models (LLMs) have recently gained significant attention for their capabilities in natural language processing (NLP), particularly generative artificial intelligence (AI). LLMs can also be useful tools for software documentation technical writers. We present an assessment of technical documentation cont…
Academic paper ↗Research & methods
The system and findings show that AI-assisted writ- ing is capable of generating useful content for aca-
Academic paper ↗Research & methods
AI as a support for technical writers.
Academic paper ↗Industry & practice
What you want instead is to build a unified knowledge framework that maps out how to create, manage, and store technical documentation. The framework includes a shared structure and language, taxonomies and metadata, consistent terminology, and content formats. To implement this framework, companies are turning to com…
Industry article ↗Industry & practice
High performers were almost three ... engineering approaches have reported <strong>50% reduction in production costs, doubled publishing speed, and 40% higher impact on refreshed content</strong>....
Industry article ↗Industry & practice
This precision allows AI-powered knowledge management tools to surface the right answer to the right person without returning outdated, irrelevant, or contradictory results. See how teams manage structured content at scale. ... A component content management system (CCMS) provides the core infrastructure for structure…
Industry article ↗Industry & practice
Single-source publishing eliminates conflicting information that could confuse AI systems. Multiple content types work together intelligently. Most product documentation comprises more than text-based content—it includes images, screenshots, videos, and other multimedia formats that require specialized processing. Str…
Industry article ↗Industry & practice
The organizations that win won't just publish articles they'll operate content systems where structure, schema, and retrieval-readiness are engineered in by default, and where <strong>AI handles research, drafting, and repurposing under human governance</strong>.
Industry article ↗Community signals
If you’ve ever tried wiring up AI inside a document editor, you’ve probably dealt with: · <strong>This new Tiptap toolkit gives you a clean way to define AI Agents that can read and edit rich text based on user-defined tasks</strong>. You can trigger agents manually, automatically, or in response to structured ...
Community lead ↗Community signals
“<strong>Datasette is a tool for exploring and publishing data</strong>. It helps people take data of any shape, analyze and explore it, and publish it as an interactive website and accompanying API · Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers ...
Community lead ↗Community signals
Sure, Waymo’s model is AI and the scams in Apple News are often AI generated, but this isn't some sort of monoculture of LLM articles · Ironically, this article could have been improved by using an LLM to categorize things and also publishing the prompt, so we could inspect what it means ...
Community lead ↗Community signals
That’s likely to be the middle ground going forward for the smarter creative companies, and I’m personally all for it. Sure, use it for a pitch, or a demo, or a test - but once there’s money on the line (copyright in particular), get that shit outta there because we can’t own something ...
Community lead ↗Community signals
But moving forward the goal should remain that writing should be comprehensible and not overly reliant on templates and other annoyances · I see inherent value in hearing from and talking to other humans. There is, unfortunately, a lot of AI content hustlers who want to rob me of this so that ...
Community lead ↗Community signals
<strong>Waldium is an AI-driven platform for researching, writing, and publishing technical knowledge in formats that both humans and AIs can understand</strong>. We help developers create technical guides, resources and tutorials — structured, durable knowledge ...
Community lead ↗Community signals
In 2016 Luka launched a closed testing of Replika, a new app that allows to create a personal AI friend that helps people deal with loneliness. The app is powered by a proprietary deep learning architecture. ... A publishing platform designed to work the same way your brain does.
Community lead ↗Community signals
We are looking for an AI Powered Content Creator to own the full process of creating, editing, and publishing viral content. This is not about safe corporate social media.
Community lead ↗Community signals
Step 2: Content engineering to market fit We use that persona to build your entire content pipeline: 4 LinkedIn posts per week, strategic comments on prospect posts, category defining blogs that rank.
Community lead ↗Community signals
I’m looking for an English‑language publishing partner (trade press or serious indie) for my finished manuscript, “Thinking Outsourcing: The Hidden Cost of Surrendering Your Mind to AI.” The work is complete (≈105 k words) and professionally edited in Korean; an English draft is now ...
Community lead ↗
Conference talk
In his keynote “The Importance of Language in Working with Data & AI”, Tiankai Feng explores how language becomes one of the most important interfaces between humans and artificial intelligence. He explains why precise communication, terminology, and shared understanding are essential in an increasingly AI driven worl…
Conference session ↗
Conference talk
The way we use terminology has changed. These days, termbases are essential for more than just translators and writers. They're also feeding AI models, driving intelligent search, and powering knowledge graphs. But making a termbase work for both people and machines has its ups and downs. In this session, we'll share…
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Terminology, Translation and Language Technologies
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Artificial Intelligence (AI) in Technical Communication
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Artificial Intelligence (AI) in Technical Communication
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Artificial Intelligence (AI) in Technical Communication
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Artificial Intelligence (AI) in Technical Communication
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The pressure to adopt AI is real, but handing steps to an AI agent without a clear design for human oversight is how workflows break down quietly. In this talk, I'll show how to architect AI workflows that keep humans in the right place at the right time: in control without becoming a bottleneck, and efficient without…
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We are presenting on managing international teams. The paper is based on Sidvin Outotec Engineering (SOE), a joint venture combining Indian execution excellence through Sidvin CoreTech with international engineering standards from Metso (formed through the merger of Metso and Outotec). Our session will explore how SOE…
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From a manufacturer’s perspective, this session shows how to turn the Cyber Resilience Act (EU) 2024/2847 and the Machinery Regulation (EU) 2023/1230 into clear ‘instructions to the user’. It presents a practical approach, starting from the risk assessment, in which cyber threats are treated as potential causes of haz…
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We’ve all been there: engineering is moving at lightning speed, product tickets are scattering, and the pressure to deliver flawless documentation is skyrocketing. How do you maintain quality when time isn't on your side?Enter the future of docs-as-code. This talk reveals a real-world use case of injecting autonomous…
Conference session ↗Conference talk
Technical writers have always written for humans. But in 2026, documentation is no longer consumed only by people. It is consumed by AI systems: RAG pipelines, chatbot knowledge bases, and AI-powered search assistants now consume the same content your users do, and they read very differently. A well-crafted narrative…
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This tutorial for beginners shows why accessibility in software documentation is no longer optional. As products reach broader audiences, inaccessible documentation silently excludes users, increases support costs, and weakens adoption. In this session, attendees will learn what accessibility really means, why it matt…
Conference session ↗Conference talk
Modern MT and LLM-based translation is now linguistically fluent. That era is over, as is the era of post-editing as the primary quality lever. When F5's Japan in-country team describes their LLM translations as "child language," the problem is cultural intelligence: register, tone, in/out-group framing. Approximately…
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The rapid growth of AI has raised concerns among technical writers, especially as AI-related organizational changes have led to job cuts. However, studies and industry reports suggest that many of these cuts are strategic rather than a result of AI fully replacing technical writers. This presentation examines AI’s cur…
Conference session ↗Conference talk
To understand how LLM-based agents process user utterances, their decisions need to be explainable and presented in a meaningful, user-centric way. This requires close collaboration between UX, development, and QA teams. While development needs fast mass testing across thousands of queries to identify inconsistencies,…
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For the first nine years I worked in tech, I used Git the way many people do: just enough to feel competent, but not enough to recover if anything went sideways. I had my fair share of git rebase disasters, with panic setting in, then me deleting the repo and re-cloning to start fresh. When I discovered git worktree,…
Conference session ↗Conference talk
When I transitioned from software documentation to writing commercialization strategies for federally funded research and development projects, I expected to learn "business skills." Instead, I discovered that the documentation skills I already had—audience analysis, information architecture, and iterative refinement—…
Conference session ↗Conference talk
I joined Bluesky as their first Devrel hire in October 2025. At that time—stop me if you’ve heard this one before—they had two different docs presences that did not necessarily complement each other in terms of either coverage or UX. In fairness, there was a reason for this. Bluesky is both the name of my employer and…
Conference session ↗Conference talk
There has been a shift. Instead of people asking me, "What is technical writing?" during small talk, they now ask, "Aren't you worried about AI taking your job?" Not really. And I work for a company that built a writing agent and creates self-updating documentation workflows. We also host thousands of documentation si…
Conference session ↗Conference talk
Highly technical documentation can contain everything users need and still leave them stuck. I learned this the hard way when I inherited an existing documentation set for a comprehensive security and log management product. The content was often packed with useful detail, but it assumed a level of context many end us…
Conference session ↗Conference talk
Last year, I spent three months manually auditing a major developer documentation portal. I found deprecated code examples, broken API references, and outdated content—but the real problem was that the audit was obsolete within weeks. So I built an AI tool to do it continuously. This talk shares what I learned about b…
Conference session ↗Conference talk
In the world of live streaming, when something unexpected happens, creators need answers in seconds. Picture this: A Twitch creator is live streaming to 500 viewers, when unexpected sexual content appears in the sponsored indie game they're playing. Chat erupts: "You're gonna get banned!" Is that true? No one knows. M…
Conference session ↗Conference talk
Many of us who write both prose and code fell in love with Jupyter notebooks quickly, but have also run into many of the limitations they pose for diverse types of technical communication, computational exploration, and software development. This talk looks at a number of alternative notebook and notebook-adjacent too…
Conference session ↗Conference talk
We're always talking about how hard it is to get contributors for open source documentation. But what if the problem isn't that people don't want to help? What if we're just making it way too hard for them to start? I've spent the last few years working on documentation for projects like CHAOSS and running Hacktoberfe…
Conference session ↗Conference talk
Being the first and only Technical Writer on a team doesn’t just mean documenting features—it means becoming a bridge, educator, advocate, and culture‑builder all at once. Over time, I’ve learned that while documentation is often undervalued or taken for granted, it quietly shapes everything: from product clarity to b…
Conference session ↗Conference talk
In 2011, Brian Christian’s The Most Human Human explored what it means to be human through the lens of the Loebner Prize—a competition between the best chatbots at the time via a tournament of Turing Tests. Looking back from 2026 the book remains insightful yet there’s something quaint about both the competition and t…
Conference session ↗Conference talk
Imagine a small SaaS product with a well-structured help center. The documentation is lean, accurate, and easy to maintain. Content ownership shifts organically from product managers to product marketers to the support team, and for a while, it works. Then, the wake-up call from the support team: “We could improve bot…
Conference session ↗Conference talk
Crafting quality documentation requires enormous time and energy. Yet, product users often find it faster and easier to query robots than to navigate a documentation site. (In this sense, ‘robots’ refers to web crawlers, large language models, answer engines, and overarching AI technologies that enable our users to co…
Conference session ↗Conference talk
We do not want AI to write the docs. We know this. It does a bad job, and it’s depressing to think about! However, what AI is inevitably going to do is read the docs, and then? Then we can talk. I recently inherited maintenance responsibilities for a docs site that already had some AI tooling built into it – note, I p…
Conference session ↗Conference talk
As a technical writer leading documentation initiatives, I observed a persistent challenge: while documenting new products and features follows established processes, improving existing content often lacks a systematic approach - both due to limited bandwidth and insufficient data. The traditional approach of relying…
Conference session ↗Conference talk
Where do you start when your Docs-as-Code repository is a large, disorganized, poorly written, and outdated shipwreck? Most of us have been there. You accept a new job where you’re the sole technical writer or part of a very small technical writing team. You obtain access to the docs repo. Slowly, realization and then…
Conference session ↗Conference talk
One of the most frustrating experiences as a tech writer is hearing secondhand that a customer complained about the documentation—especially when it’s a nebulous complaint that leaves no clear path for improvement. Receiving quality user feedback is often seen as the Holy Grail of documentation: elusive, invaluable, a…
Conference session ↗Conference talk
Eventually, every technical writer is faced with the same troubling question about a new project: Which regulations and standards apply, and what will that mean for my documentation? While for some specializations this is fairly straightforward, in the medical device industry, the sheer number of regulations and other…
Conference session ↗Conference talk
Outdated docs break user trust. Sometimes it's small—a screenshot that doesn't match the UI. Sometimes it's a one-and-done broken relationship—a critical procedure that fails at a key moment. You don't always get a second chance. When product updates are frequent, it's easy to accept that outdated docs are a sad reali…
Conference session ↗Conference talk
My journey into technical writing has been anything but conventional. I moved from software engineer, to knitwear designer, to craft business owner, and ultimately, to technical writer. I’ve discovered a varied background is a powerful asset. While my experience in software engineering provided a sound foundation, my…
Conference session ↗Conference talk
As someone with a completely non-technical background (an English degree), and who now works in software as a technical writer, I get a lot of questions about how I made that leap. They often jump directly to the practical: how did you become a technical writer in software, if you went in only knowing how to analyze S…
Conference session ↗Conference talk
We’ve all been in this situation before: you’ve been asked to build a new type of documentation, and a stakeholder (maybe a product manager with a lot of ownership, an executive, or even the CEO) has a specific idea about how this documentation should look, how it should be organized, what content should be included,…
Conference session ↗Conference talk
Our toolchains are the backbone of the docs we produce. Over time the files, pre-build scripts, builders, post-build scripts, and a variety of tacked-on supporting frameworks become the tentacles and hooked beak of the infamous kraken. Maybe it's a kraken that you lovingly grew yourself: from scratch as part of a new…
Conference session ↗Conference talk
In the world of technical documentation, merging two established systems is no small feat. This presentation will take the audience on a journey through the ambitious unification of ForgeRock and Ping Identity's documentation ecosystems, showcasing how a Docs as Code approach can successfully scale to meet enterprise…
Conference session ↗Conference talk
What happens when your documentation is public, and anyone can contribute? Discord's developer documentation isn’t just published for developers to use. It’s written alongside our developer community. By making our docs public and inviting the community to submit pull requests, we’ve turned documentation into a collab…
Conference session ↗Conference talk
If you’re lucky, you work at an organization with enormous growth potential and a clear upward trajectory. But how do you keep excelling at your job, when the company you work for is structurally and strategically different from the one you joined (and it won’t stop changing)? The company I work for is a marketing aut…
Conference session ↗Community signals
Bravi helps manufacturers of windows, doors, and other home improvement products turn fragmented technical and commercial data into tools their teams can use instantly. Our AI platform helps sales, customer service, and field teams answer technical questions, configure complex products, generate quotes, and retrieve o…
Community lead ↗Community signals
It uses multiple AI agents to search existing knowledge sources, test existing docs for validity and style guidelines, and clicks, scrolls, and uses enterprise software through a web browser to generate docs with embedded screenshots and video recordings. Quanstruct is available as a cloud service to start, targeting…
Community lead ↗Community signals
<strong>Prox is the AI product assistant for manufacturers</strong>. We turn a manufacturer's manuals, service docs, parts catalogs, fitment tables, training videos, support history, and senior-tech tribal knowledge into one product expert that can answer questions, ...
Community lead ↗Community signals
Bravi is building the AI operating system for home-services businesses, using AI-powered customer communication as the wedge. We replace the front office (calls, chats, follow-ups) with AI agents that never miss a lead, then layer an internal AI copilot that understands products, pricing, and technical documentation.
Community lead ↗Community signals
It uses multiple AI agents to search existing knowledge sources, test existing docs for validity and style guidelines, and clicks, scrolls, and uses enterprise software through a web browser to generate docs with embedded screenshots and video recordings. Quanstruct is available as a cloud service to start, targeting…
Community lead ↗Community signals
https://stytch.com/blog/if-an-ai-agent-cant-figure-out-how-y · Which is another issue, indifference. It's hard to find people that actually care about things like API design, let alone multiple that check each other's work. In my experience, a lot of the time people just get lazy and short-circuit ...
Community lead ↗Community signals
I hope actual users never see this. I dread thinking about having to go around to various LLM generated sites to correct documentation I never approved of to stop confusing users that are tricked into reading it · This is another one of those bizarre situations that keeps happening in AI coding ...
Community lead ↗Community signals
There have been many attempts to solve the problem of continuous documentation. Tools like <strong>Swagger or Sphinx-autodoc</strong> can generate docs from OpenAPI specs or code annotations, but they only work in very narrow settings. They don't help much with higher-level docs like user guides, quickstarts, ...
Community lead ↗Community signals
Specs and intent docs (plan.md, Linear ticket, change records) seem to become more important since they're what agents work from. On the other hand, the traditional RFC/architecture docs drifts out of sync faster · How are you adopting your documentation workflows internally?
Community lead ↗Community signals
We’re the team behind Bestsys & <strong>Maven AI Agents</strong>. We believe the future of work isn’t just AI-assisted—it’s AI-driven. Today, businesses spend over $500B annually on outsourcing repetitive work (finance, HR, customer support, data entry). We built <strong>Maven AI Agents</strong> to replace human-drive…
Community lead ↗Industry & practice
<strong>MaintainX Assist</strong> documentation · Manual search is the strongest reason it ranks first. A technician can ask a natural-language question against an asset's processed manuals, receive an answer, and open links to the relevant source pages.
Industry article ↗Industry & practice
These systems <strong>act as digital subject matter experts that analyze machine data, historical maintenance logs and technical manuals in real time</strong>. They provide the maintenance engineer with precise instructions, reduce diagnostic times and standardize ...
Industry article ↗Industry & practice
For industrial, medical, electrical, or safety-critical equipment, AI should help people retrieve and use approved information rather than override manufacturer procedures or qualified engineering judgment. CustomGPT.ai is most relevant to field service organizations whose biggest bottleneck is finding answers inside…
Industry article ↗Industry & practice
<strong>Kapa.ai</strong> surfaces unanswered questions and documentation gaps, helping technical writing teams prioritize what to write next — effectively enabling technical writers to evolve into technical editors, as Paligo's research into AI-assisted ...
Industry article ↗Industry & practice
A practical guide for engineering teams to build a Slack or Teams assistant that delivers grounded answers from internal documentation
Industry article ↗Research & methods
We also discuss important limitations, including the need for new datasets and the risks of information leakage in this domain. These findings have significant implications for applications requiring precise document updates, such as software engineering, technical documentation, and legal document maintenance.
Academic paper ↗Research & methods
Aircraft Maintenance Technicians (AMTs) spend up to 30% of work time searching manuals—a documented efficiency bottleneck in MRO operations where every procedure must be traceable to certified sources.We present a compliance-preserving retrieval system that adapts LLM reranking and semantic ...
Academic paper ↗Research & methods
MedicaLLM aims to reduce the administrative burden, improve the quality of documentation, and enhance semantic
Academic paper ↗Research & methods
Proceedings of the 16th International Workshop on Spoken Dialogue Systems Technology, pages 348–356 · February 26–March 1, 2026. ©2026 Association for Computational Linguistics
Academic paper ↗Research & methods
Furthermore, analysis of 200 ... maintenance environments increasingly rely on AI systems to <strong>assist operators in understanding asset behavior, diagnosing failures, and evaluating interventions</strong>....
Academic paper ↗Community signals
• Agent Evaluation & QA: Grade AI Agent outputs against gold-standard answers, flag errors and inconsistencies, and track quality metrics across model releases. • Guidelines & Taxonomy: Help define and refine labelling guidelines, decision taxonomies, and edge-case playbooks so that labels stay consistent as the team…
Community lead ↗Community signals
What manual review misses resurfaces ... and reputation. <strong>Structured AI catches those errors before they leave the office, capturing the judgment of your best reviewer once and applying it everywhere</strong>....
Community lead ↗Community signals
We support multiple strategies for evaluation: auto-eval by another model, systematic evaluations like structured output validation or semantic similarity to an expected output, or even through gathering human feedback with our notebook UI.
Community lead ↗Community signals
In investment management, every decision gets graded. The market prints the answer on a date known in advance, and nobody gets to argue with it. Kimpton is financial AI that answers to reality. Kimpton OS is the AI-native operating system for investment teams: it does the research and hands PMs structured trades.
Community lead ↗Community signals
https://artificialanalysis.ai/evaluations/omniscience · This is so useful because it makes you actually trust a models output. A high score on benchmarks is not as useful because a model overtrained to always answer will give confidently wrong responses. But this index measures how often it ...
Community lead ↗Community signals
It looks like <strong>the model takes as input a state (structured text?</strong> not sure if multi-modal) and a question (as a "Choice", "Score", or "Noul") with some additional augmentations possible. Then outputs the question's answers as appropriate (e.g. a choice, accompanying probabilities, confidence) ...
Community lead ↗Community signals
Its a way to encapsulate the personality and expertise - at least that's the idea :) · I have a /red-team skill that will use an agent team to criticize it's own work, grade and rank feedback, incorporate relevant feedback and then start over. It has increased the quality of output
Community lead ↗Community signals
OPs “marketing” is a single post on Reddit titled “ Predicting sales conversion probability from conversations using pure Reinforcement Learning”. Can you understand what that means? I can’t, and I consider myself reasonably technical. Is it obvious it has the same implications as Jev?
Community lead ↗Community signals
For emails, I get 95% accuracy with this method, with only 50-100 examples for training · Training the model takes less than 5 minutes on a CPU
Community lead ↗
Industry & practice
V-Cycle structures development in phases from requirements to verification, with AI improving through continuous, iterative evaluation loops. ... Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director ...
Industry article ↗Industry & practice
This structure supports systematic, evidence-based evaluation of AI-based models, their variations, and libraries. <strong>This study employs a structured research approach to examine AI model selection in research software engineering, with a focus on open repositories and scholarly use contexts</strong>.
Industry article ↗Industry & practice
This paper contributes to addressing the challenge of decision-making by proposing a structured decision-making framework as a foundational step towards responsible AI. The proposed structured decision-making framework is implemented in autonomous decision-making, specifically within disaster management. By introducin…
Industry article ↗Industry & practice
The decisions may result from collaboration between human operators and AI-based assistants through a provided interface. Furthermore, the decisions must comply with established trustworthy key performance indicators (KPIs) and undergo validation by a regulatory authority. The subsequent sections provide a detailed ex…
Industry article ↗Industry & practice
Evals for AI Engineers <strong>equips you with the proven tools and processes required to systematically test, measure, and enhance the reliability of AI applications, especially those using LLMs</strong>.
Industry article ↗
Research & methods
Lastly, we fine-tune an LLM to identify and prioritize these key facts to optimize decision-making. STRUX has been evaluated on the challenging task of forecasting stock investment decisions based on earnings call transcripts and demonstrated superior performance against strong baselines.
Academic paper ↗Research & methods
We structure our evaluation around three core · research questions: (i) how stable are model · decisions · across · different · lesion-containing · presentation formats? (Section 4.1) (ii) does · consistency in model-reported evidence align · with consistency in final diagnostic decisions?
Academic paper ↗Research & methods
In the evaluation stage, it outputs the trading · direction (Buy, Sell, or Hold), the rationale for this · decision, identifying the most influential memory · events and their respective IDs from each layer. Layered Long-Term Memory: Inspired by the · human cognitive system’s varying information de- cay speeds, Layered…
Academic paper ↗Research & methods
the systematic decision-making process employed · by experienced doctors. The prompts for the Doc- tor agent is shown in Table 22. 3.4 · Dialogue Flow in AI Hospital · The AI Hospital framework simulates a realistic · diagnostic process through a structured dialogue ·
Academic paper ↗Research & methods
cific criteria are met, making evaluation decisions · more explicit and reducing ambiguity. Second, it · enhances consistency through structured binary re- sponses, which improve IEA and reduce variability. Importantly, CheckEval maintains competitive cor- relation with human evaluation while achieving ·
Academic paper ↗Shared metadata links ideas to the same connector; it does not imply agreement between ideas.
Terminology, Translation and Language Technologies
Artificial Intelligence (AI) in Technical Communication
Artificial Intelligence (AI) in Technical Communication
Content Delivery
At the end of the day, all I ever seem to use is the chat completion API with structured outputs turned on. Despite my "basic" usage, I am employing tool use, recursive conversations, RAG, etc. I don't see the value in outsourcing state management of my "agent" to a 3rd party.
We're ingesting around 30m to 50m pages a day so have learned a lot about what blocks AI crawlers and agents. And I wanted to share some guidelines on how to make sure your startup or documentation or other content shows up as well as possible for agent use
DERCOM
Artificial Intelligence (AI) in Technical Communication
Legal Requirements and Standards
As generative AI lowers the entry barrier for automated translation, a growing number of enterprises are moving away from established workflows with language-service providers toward self-made AI solutions and in-house translation pipelines. Driven by the promise of drastic cost reduction, these initiatives often suff…
To address these challenges, we explore an AI-era publishing paradigm in which both human and AI scientists participate as authors and readers, and papers evolve through continuous, feedback-driven iteration. We propose AiraXiv, an AI-driven open-access platform built on open preprints, AI-augmented analysis and revie…
Table 5. Furthermore, to facilitate robust content ... LLM vs. Human ... LLM vs. Human ... Reference Cov. ... Table 7: Comparison of open source and closed source models on SurveyBench. ... As shown in Fig. 5, we have provided the ... MLLMs to these practical scenarios. For instance, ... Figure 4: Comparisons of surve…
https://www.linkedin.com/posts/ali-hamie_im-an-engineer-at-m · How are you handling this
Quanstruct is available as a cloud service to start, targeting technical writers, content writing, professional services, and product teams. Traditional generative AI tools risk hallucinating critical API & SDK fields, even with RAG based approaches. Purely agent-based approaches risk providing unpredictable output th…
What AI does is remove a bunch of the humiliating, boring parts of being junior: <strong>hunting for the right API by cargo-culting Stack Overflow, grinding through boilerplate, getting stuck for hours on a missing import</strong>. If a half-decent model can collapse that search space for them, you get to spend ...
Before people get angry with me... there's plenty of small tells, starting with section headings, a lot of linguistic choices, and low information density... but more importantly, the author openly says she writes using LLMs: https://www.sh-reya.com/blog/ai-writing/#how-i-write-with-ll · Just ...
machine learning and Computer Vision. At eSuccess AI, Parth works on building advanced legal intel- ligence systems powered by LLMs and retrieval-augmented architectures. His current interests include · structured legal representations, legal data models, and domain-adapted language models.
<strong>without detailed technical elaboration</strong>. Given the · rapid progress in AI and the expanding research · landscape, we primarily focus on works published · after 2022, with earlier studies receiving less at- tention. To emphasize areas that closely mimic · the human research process, some ...
We are launching Brewly.ai today · It’s <strong>an AI newsletter creator for any topics you want to deep dive in</strong>. You can set quality requirements or special instructions for the content, authors or sources you want to see, Brewly will expand your topics into a set of sub-topics/knowledge paths, ...
This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria,…
Excited to share Nanonets-OCR-s, a powerful and lightweight (3B) VLM model that converts documents into clean, structured Markdown. This model is trained to understand document structure and content context (like tables, equations, images, plots, watermarks, checkboxes, etc.). Key Features: ...
The platform is fully functional, hosted on Hugging Face, built using Flask, Firebase, Cohere, Sapling, Winston AI, and is designed to scale or monetize quickly · Currently pre-revenue, but the structure and pricing logic are already in place for premium tiers
Legal Requirements and Standards
International Management
the AiraXiv masterbrain parses the content into · a machine-readable multimodal format using · MinerU (Niu et al., 2025). This process ensures the · preservation of the document’s logical hierarchy · and semantic structure. Safety Assurance. To support secure deploy- ment in open publishing settings, AiraXiv performs ·
hallucinate content (Ji et al., 2023). This approach · is the industry standard used by virtually all AI- assisted marketing services. See prompt in A.1 for · how we formulated this task. 3.2 · Knowledge Graph Enriched · The second method suggests enriching the prompt · using data from a company’s knowledge graph. A ·…
Large language models (LLMs) have recently gained significant attention for their capabilities in natural language processing (NLP), particularly generative artificial intelligence (AI). LLMs can also be useful tools for software documentation technical writers. We present an assessment of technical documentation cont…
The system and findings show that AI-assisted writ- ing is capable of generating useful content for aca-
AI as a support for technical writers.
What you want instead is to build a unified knowledge framework that maps out how to create, manage, and store technical documentation. The framework includes a shared structure and language, taxonomies and metadata, consistent terminology, and content formats. To implement this framework, companies are turning to com…
High performers were almost three ... engineering approaches have reported <strong>50% reduction in production costs, doubled publishing speed, and 40% higher impact on refreshed content</strong>....
This precision allows AI-powered knowledge management tools to surface the right answer to the right person without returning outdated, irrelevant, or contradictory results. See how teams manage structured content at scale. ... A component content management system (CCMS) provides the core infrastructure for structure…
Single-source publishing eliminates conflicting information that could confuse AI systems. Multiple content types work together intelligently. Most product documentation comprises more than text-based content—it includes images, screenshots, videos, and other multimedia formats that require specialized processing. Str…
The organizations that win won't just publish articles they'll operate content systems where structure, schema, and retrieval-readiness are engineered in by default, and where <strong>AI handles research, drafting, and repurposing under human governance</strong>.
If you’ve ever tried wiring up AI inside a document editor, you’ve probably dealt with: · <strong>This new Tiptap toolkit gives you a clean way to define AI Agents that can read and edit rich text based on user-defined tasks</strong>. You can trigger agents manually, automatically, or in response to structured ...
“<strong>Datasette is a tool for exploring and publishing data</strong>. It helps people take data of any shape, analyze and explore it, and publish it as an interactive website and accompanying API · Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers ...
Sure, Waymo’s model is AI and the scams in Apple News are often AI generated, but this isn't some sort of monoculture of LLM articles · Ironically, this article could have been improved by using an LLM to categorize things and also publishing the prompt, so we could inspect what it means ...
That’s likely to be the middle ground going forward for the smarter creative companies, and I’m personally all for it. Sure, use it for a pitch, or a demo, or a test - but once there’s money on the line (copyright in particular), get that shit outta there because we can’t own something ...
But moving forward the goal should remain that writing should be comprehensible and not overly reliant on templates and other annoyances · I see inherent value in hearing from and talking to other humans. There is, unfortunately, a lot of AI content hustlers who want to rob me of this so that ...
<strong>Waldium is an AI-driven platform for researching, writing, and publishing technical knowledge in formats that both humans and AIs can understand</strong>. We help developers create technical guides, resources and tutorials — structured, durable knowledge ...
In 2016 Luka launched a closed testing of Replika, a new app that allows to create a personal AI friend that helps people deal with loneliness. The app is powered by a proprietary deep learning architecture. ... A publishing platform designed to work the same way your brain does.
We are looking for an AI Powered Content Creator to own the full process of creating, editing, and publishing viral content. This is not about safe corporate social media.
Step 2: Content engineering to market fit We use that persona to build your entire content pipeline: 4 LinkedIn posts per week, strategic comments on prospect posts, category defining blogs that rank.
I’m looking for an English‑language publishing partner (trade press or serious indie) for my finished manuscript, “Thinking Outsourcing: The Hidden Cost of Surrendering Your Mind to AI.” The work is complete (≈105 k words) and professionally edited in Korean; an English draft is now ...
In his keynote “The Importance of Language in Working with Data & AI”, Tiankai Feng explores how language becomes one of the most important interfaces between humans and artificial intelligence. He explains why precise communication, terminology, and shared understanding are essential in an increasingly AI driven worl…
The way we use terminology has changed. These days, termbases are essential for more than just translators and writers. They're also feeding AI models, driving intelligent search, and powering knowledge graphs. But making a termbase work for both people and machines has its ups and downs. In this session, we'll share…
Terminology, Translation and Language Technologies
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The pressure to adopt AI is real, but handing steps to an AI agent without a clear design for human oversight is how workflows break down quietly. In this talk, I'll show how to architect AI workflows that keep humans in the right place at the right time: in control without becoming a bottleneck, and efficient without…
We are presenting on managing international teams. The paper is based on Sidvin Outotec Engineering (SOE), a joint venture combining Indian execution excellence through Sidvin CoreTech with international engineering standards from Metso (formed through the merger of Metso and Outotec). Our session will explore how SOE…
From a manufacturer’s perspective, this session shows how to turn the Cyber Resilience Act (EU) 2024/2847 and the Machinery Regulation (EU) 2023/1230 into clear ‘instructions to the user’. It presents a practical approach, starting from the risk assessment, in which cyber threats are treated as potential causes of haz…
We’ve all been there: engineering is moving at lightning speed, product tickets are scattering, and the pressure to deliver flawless documentation is skyrocketing. How do you maintain quality when time isn't on your side?Enter the future of docs-as-code. This talk reveals a real-world use case of injecting autonomous…
Technical writers have always written for humans. But in 2026, documentation is no longer consumed only by people. It is consumed by AI systems: RAG pipelines, chatbot knowledge bases, and AI-powered search assistants now consume the same content your users do, and they read very differently. A well-crafted narrative…
This tutorial for beginners shows why accessibility in software documentation is no longer optional. As products reach broader audiences, inaccessible documentation silently excludes users, increases support costs, and weakens adoption. In this session, attendees will learn what accessibility really means, why it matt…
Modern MT and LLM-based translation is now linguistically fluent. That era is over, as is the era of post-editing as the primary quality lever. When F5's Japan in-country team describes their LLM translations as "child language," the problem is cultural intelligence: register, tone, in/out-group framing. Approximately…
The rapid growth of AI has raised concerns among technical writers, especially as AI-related organizational changes have led to job cuts. However, studies and industry reports suggest that many of these cuts are strategic rather than a result of AI fully replacing technical writers. This presentation examines AI’s cur…
To understand how LLM-based agents process user utterances, their decisions need to be explainable and presented in a meaningful, user-centric way. This requires close collaboration between UX, development, and QA teams. While development needs fast mass testing across thousands of queries to identify inconsistencies,…
For the first nine years I worked in tech, I used Git the way many people do: just enough to feel competent, but not enough to recover if anything went sideways. I had my fair share of git rebase disasters, with panic setting in, then me deleting the repo and re-cloning to start fresh. When I discovered git worktree,…
When I transitioned from software documentation to writing commercialization strategies for federally funded research and development projects, I expected to learn "business skills." Instead, I discovered that the documentation skills I already had—audience analysis, information architecture, and iterative refinement—…
I joined Bluesky as their first Devrel hire in October 2025. At that time—stop me if you’ve heard this one before—they had two different docs presences that did not necessarily complement each other in terms of either coverage or UX. In fairness, there was a reason for this. Bluesky is both the name of my employer and…
There has been a shift. Instead of people asking me, "What is technical writing?" during small talk, they now ask, "Aren't you worried about AI taking your job?" Not really. And I work for a company that built a writing agent and creates self-updating documentation workflows. We also host thousands of documentation si…
Highly technical documentation can contain everything users need and still leave them stuck. I learned this the hard way when I inherited an existing documentation set for a comprehensive security and log management product. The content was often packed with useful detail, but it assumed a level of context many end us…
Last year, I spent three months manually auditing a major developer documentation portal. I found deprecated code examples, broken API references, and outdated content—but the real problem was that the audit was obsolete within weeks. So I built an AI tool to do it continuously. This talk shares what I learned about b…
In the world of live streaming, when something unexpected happens, creators need answers in seconds. Picture this: A Twitch creator is live streaming to 500 viewers, when unexpected sexual content appears in the sponsored indie game they're playing. Chat erupts: "You're gonna get banned!" Is that true? No one knows. M…
Many of us who write both prose and code fell in love with Jupyter notebooks quickly, but have also run into many of the limitations they pose for diverse types of technical communication, computational exploration, and software development. This talk looks at a number of alternative notebook and notebook-adjacent too…
We're always talking about how hard it is to get contributors for open source documentation. But what if the problem isn't that people don't want to help? What if we're just making it way too hard for them to start? I've spent the last few years working on documentation for projects like CHAOSS and running Hacktoberfe…
Being the first and only Technical Writer on a team doesn’t just mean documenting features—it means becoming a bridge, educator, advocate, and culture‑builder all at once. Over time, I’ve learned that while documentation is often undervalued or taken for granted, it quietly shapes everything: from product clarity to b…
In 2011, Brian Christian’s The Most Human Human explored what it means to be human through the lens of the Loebner Prize—a competition between the best chatbots at the time via a tournament of Turing Tests. Looking back from 2026 the book remains insightful yet there’s something quaint about both the competition and t…
Imagine a small SaaS product with a well-structured help center. The documentation is lean, accurate, and easy to maintain. Content ownership shifts organically from product managers to product marketers to the support team, and for a while, it works. Then, the wake-up call from the support team: “We could improve bot…
Crafting quality documentation requires enormous time and energy. Yet, product users often find it faster and easier to query robots than to navigate a documentation site. (In this sense, ‘robots’ refers to web crawlers, large language models, answer engines, and overarching AI technologies that enable our users to co…
We do not want AI to write the docs. We know this. It does a bad job, and it’s depressing to think about! However, what AI is inevitably going to do is read the docs, and then? Then we can talk. I recently inherited maintenance responsibilities for a docs site that already had some AI tooling built into it – note, I p…
As a technical writer leading documentation initiatives, I observed a persistent challenge: while documenting new products and features follows established processes, improving existing content often lacks a systematic approach - both due to limited bandwidth and insufficient data. The traditional approach of relying…
Where do you start when your Docs-as-Code repository is a large, disorganized, poorly written, and outdated shipwreck? Most of us have been there. You accept a new job where you’re the sole technical writer or part of a very small technical writing team. You obtain access to the docs repo. Slowly, realization and then…
One of the most frustrating experiences as a tech writer is hearing secondhand that a customer complained about the documentation—especially when it’s a nebulous complaint that leaves no clear path for improvement. Receiving quality user feedback is often seen as the Holy Grail of documentation: elusive, invaluable, a…
Eventually, every technical writer is faced with the same troubling question about a new project: Which regulations and standards apply, and what will that mean for my documentation? While for some specializations this is fairly straightforward, in the medical device industry, the sheer number of regulations and other…
Outdated docs break user trust. Sometimes it's small—a screenshot that doesn't match the UI. Sometimes it's a one-and-done broken relationship—a critical procedure that fails at a key moment. You don't always get a second chance. When product updates are frequent, it's easy to accept that outdated docs are a sad reali…
My journey into technical writing has been anything but conventional. I moved from software engineer, to knitwear designer, to craft business owner, and ultimately, to technical writer. I’ve discovered a varied background is a powerful asset. While my experience in software engineering provided a sound foundation, my…
As someone with a completely non-technical background (an English degree), and who now works in software as a technical writer, I get a lot of questions about how I made that leap. They often jump directly to the practical: how did you become a technical writer in software, if you went in only knowing how to analyze S…
We’ve all been in this situation before: you’ve been asked to build a new type of documentation, and a stakeholder (maybe a product manager with a lot of ownership, an executive, or even the CEO) has a specific idea about how this documentation should look, how it should be organized, what content should be included,…
Our toolchains are the backbone of the docs we produce. Over time the files, pre-build scripts, builders, post-build scripts, and a variety of tacked-on supporting frameworks become the tentacles and hooked beak of the infamous kraken. Maybe it's a kraken that you lovingly grew yourself: from scratch as part of a new…
In the world of technical documentation, merging two established systems is no small feat. This presentation will take the audience on a journey through the ambitious unification of ForgeRock and Ping Identity's documentation ecosystems, showcasing how a Docs as Code approach can successfully scale to meet enterprise…
What happens when your documentation is public, and anyone can contribute? Discord's developer documentation isn’t just published for developers to use. It’s written alongside our developer community. By making our docs public and inviting the community to submit pull requests, we’ve turned documentation into a collab…
If you’re lucky, you work at an organization with enormous growth potential and a clear upward trajectory. But how do you keep excelling at your job, when the company you work for is structurally and strategically different from the one you joined (and it won’t stop changing)? The company I work for is a marketing aut…
Bravi helps manufacturers of windows, doors, and other home improvement products turn fragmented technical and commercial data into tools their teams can use instantly. Our AI platform helps sales, customer service, and field teams answer technical questions, configure complex products, generate quotes, and retrieve o…
It uses multiple AI agents to search existing knowledge sources, test existing docs for validity and style guidelines, and clicks, scrolls, and uses enterprise software through a web browser to generate docs with embedded screenshots and video recordings. Quanstruct is available as a cloud service to start, targeting…
<strong>Prox is the AI product assistant for manufacturers</strong>. We turn a manufacturer's manuals, service docs, parts catalogs, fitment tables, training videos, support history, and senior-tech tribal knowledge into one product expert that can answer questions, ...
Bravi is building the AI operating system for home-services businesses, using AI-powered customer communication as the wedge. We replace the front office (calls, chats, follow-ups) with AI agents that never miss a lead, then layer an internal AI copilot that understands products, pricing, and technical documentation.
It uses multiple AI agents to search existing knowledge sources, test existing docs for validity and style guidelines, and clicks, scrolls, and uses enterprise software through a web browser to generate docs with embedded screenshots and video recordings. Quanstruct is available as a cloud service to start, targeting…
https://stytch.com/blog/if-an-ai-agent-cant-figure-out-how-y · Which is another issue, indifference. It's hard to find people that actually care about things like API design, let alone multiple that check each other's work. In my experience, a lot of the time people just get lazy and short-circuit ...
I hope actual users never see this. I dread thinking about having to go around to various LLM generated sites to correct documentation I never approved of to stop confusing users that are tricked into reading it · This is another one of those bizarre situations that keeps happening in AI coding ...
There have been many attempts to solve the problem of continuous documentation. Tools like <strong>Swagger or Sphinx-autodoc</strong> can generate docs from OpenAPI specs or code annotations, but they only work in very narrow settings. They don't help much with higher-level docs like user guides, quickstarts, ...
Specs and intent docs (plan.md, Linear ticket, change records) seem to become more important since they're what agents work from. On the other hand, the traditional RFC/architecture docs drifts out of sync faster · How are you adopting your documentation workflows internally?
We’re the team behind Bestsys & <strong>Maven AI Agents</strong>. We believe the future of work isn’t just AI-assisted—it’s AI-driven. Today, businesses spend over $500B annually on outsourcing repetitive work (finance, HR, customer support, data entry). We built <strong>Maven AI Agents</strong> to replace human-drive…
<strong>MaintainX Assist</strong> documentation · Manual search is the strongest reason it ranks first. A technician can ask a natural-language question against an asset's processed manuals, receive an answer, and open links to the relevant source pages.
These systems <strong>act as digital subject matter experts that analyze machine data, historical maintenance logs and technical manuals in real time</strong>. They provide the maintenance engineer with precise instructions, reduce diagnostic times and standardize ...
For industrial, medical, electrical, or safety-critical equipment, AI should help people retrieve and use approved information rather than override manufacturer procedures or qualified engineering judgment. CustomGPT.ai is most relevant to field service organizations whose biggest bottleneck is finding answers inside…
<strong>Kapa.ai</strong> surfaces unanswered questions and documentation gaps, helping technical writing teams prioritize what to write next — effectively enabling technical writers to evolve into technical editors, as Paligo's research into AI-assisted ...
A practical guide for engineering teams to build a Slack or Teams assistant that delivers grounded answers from internal documentation
We also discuss important limitations, including the need for new datasets and the risks of information leakage in this domain. These findings have significant implications for applications requiring precise document updates, such as software engineering, technical documentation, and legal document maintenance.
Aircraft Maintenance Technicians (AMTs) spend up to 30% of work time searching manuals—a documented efficiency bottleneck in MRO operations where every procedure must be traceable to certified sources.We present a compliance-preserving retrieval system that adapts LLM reranking and semantic ...
MedicaLLM aims to reduce the administrative burden, improve the quality of documentation, and enhance semantic
Proceedings of the 16th International Workshop on Spoken Dialogue Systems Technology, pages 348–356 · February 26–March 1, 2026. ©2026 Association for Computational Linguistics
Furthermore, analysis of 200 ... maintenance environments increasingly rely on AI systems to <strong>assist operators in understanding asset behavior, diagnosing failures, and evaluating interventions</strong>....
• Agent Evaluation & QA: Grade AI Agent outputs against gold-standard answers, flag errors and inconsistencies, and track quality metrics across model releases. • Guidelines & Taxonomy: Help define and refine labelling guidelines, decision taxonomies, and edge-case playbooks so that labels stay consistent as the team…
What manual review misses resurfaces ... and reputation. <strong>Structured AI catches those errors before they leave the office, capturing the judgment of your best reviewer once and applying it everywhere</strong>....
We support multiple strategies for evaluation: auto-eval by another model, systematic evaluations like structured output validation or semantic similarity to an expected output, or even through gathering human feedback with our notebook UI.
In investment management, every decision gets graded. The market prints the answer on a date known in advance, and nobody gets to argue with it. Kimpton is financial AI that answers to reality. Kimpton OS is the AI-native operating system for investment teams: it does the research and hands PMs structured trades.
https://artificialanalysis.ai/evaluations/omniscience · This is so useful because it makes you actually trust a models output. A high score on benchmarks is not as useful because a model overtrained to always answer will give confidently wrong responses. But this index measures how often it ...
It looks like <strong>the model takes as input a state (structured text?</strong> not sure if multi-modal) and a question (as a "Choice", "Score", or "Noul") with some additional augmentations possible. Then outputs the question's answers as appropriate (e.g. a choice, accompanying probabilities, confidence) ...
Its a way to encapsulate the personality and expertise - at least that's the idea :) · I have a /red-team skill that will use an agent team to criticize it's own work, grade and rank feedback, incorporate relevant feedback and then start over. It has increased the quality of output
OPs “marketing” is a single post on Reddit titled “ Predicting sales conversion probability from conversations using pure Reinforcement Learning”. Can you understand what that means? I can’t, and I consider myself reasonably technical. Is it obvious it has the same implications as Jev?
For emails, I get 95% accuracy with this method, with only 50-100 examples for training · Training the model takes less than 5 minutes on a CPU

V-Cycle structures development in phases from requirements to verification, with AI improving through continuous, iterative evaluation loops. ... Anthony has been a CFD expert since 1990, working initially as a senior researcher, then moved to Engineering, acting also as technical director ...
This structure supports systematic, evidence-based evaluation of AI-based models, their variations, and libraries. <strong>This study employs a structured research approach to examine AI model selection in research software engineering, with a focus on open repositories and scholarly use contexts</strong>.
This paper contributes to addressing the challenge of decision-making by proposing a structured decision-making framework as a foundational step towards responsible AI. The proposed structured decision-making framework is implemented in autonomous decision-making, specifically within disaster management. By introducin…
The decisions may result from collaboration between human operators and AI-based assistants through a provided interface. Furthermore, the decisions must comply with established trustworthy key performance indicators (KPIs) and undergo validation by a regulatory authority. The subsequent sections provide a detailed ex…
Evals for AI Engineers <strong>equips you with the proven tools and processes required to systematically test, measure, and enhance the reliability of AI applications, especially those using LLMs</strong>.

Lastly, we fine-tune an LLM to identify and prioritize these key facts to optimize decision-making. STRUX has been evaluated on the challenging task of forecasting stock investment decisions based on earnings call transcripts and demonstrated superior performance against strong baselines.
We structure our evaluation around three core · research questions: (i) how stable are model · decisions · across · different · lesion-containing · presentation formats? (Section 4.1) (ii) does · consistency in model-reported evidence align · with consistency in final diagnostic decisions?
In the evaluation stage, it outputs the trading · direction (Buy, Sell, or Hold), the rationale for this · decision, identifying the most influential memory · events and their respective IDs from each layer. Layered Long-Term Memory: Inspired by the · human cognitive system’s varying information de- cay speeds, Layered…
the systematic decision-making process employed · by experienced doctors. The prompts for the Doc- tor agent is shown in Table 22. 3.4 · Dialogue Flow in AI Hospital · The AI Hospital framework simulates a realistic · diagnostic process through a structured dialogue ·
cific criteria are met, making evaluation decisions · more explicit and reducing ambiguity. Second, it · enhances consistency through structured binary re- sponses, which improve IEA and reduce variability. Importantly, CheckEval maintains competitive cor- relation with human evaluation while achieving ·
CURIOSITY IS THE STARTING POINT
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