linguistics-and-language

TL;DR : I shipped FIVE , an open-source MCP server that generates JSON personality constraints for any LLM. Drop the JSON into your system prompt and the character stops drifting. Different approach from typical guardrails — this one filters input via cognitive primitives, not output via moderation. Harness is MIT, constraint generation is $1 /call. The unusual part is where the cognitive model c…

From tokenisation to evaluation :  how modern language models actually work in practice The post The Must-Know Topics for an LLM Engineer appeared first on Towards Data Science .

This is a submission for the Gemma 4 Challenge: Build with Gemma 4 I Built a Research Synthesis Engine That Reads 15 Papers and Generates Peer-Reviewed Hypotheses — Powered by Gemma 4 Every researcher knows the feeling: you have a stack of papers, a vague sense that something important is hiding between them, and no time to find it. Individual papers answer narrow questions. The breakthroughs liv…

Beyond Prompt Engineering: The Shift to Agentic Orchestration For the past 18 months, the gold standard for interacting with Large Language Models (LLMs) has been "Prompt Engineering." We spent hours perfecting system messages, chain-of-thought structures, and few-shot examples. But the paradigm is shifting. The Problem with Static Prompts Prompt engineering is essentially human-in-the-loop progr…

The Problem AI detectors like GPTZero, Turnitin, and Originality.ai are everywhere. Students, writers, and professionals are getting flagged even when they write their own content. And the paid "humanizers" charge $10-20/month for something that should be free. What I Built StealthHumanizer is a completely free, open-source AI text humanizer that runs in your browser. No login. No limits. No serv…

Moving Beyond Simple Vector Search: Why Hybrid Search is Essential for RAG As LLMs continue to dominate the landscape, Retrieval-Augmented Generation (RAG) has become the go-to architecture for grounding AI in private data. However, many developers hit a wall when their RAG systems fail to retrieve context-specific details. The solution? Hybrid Search . The Limitation of Dense Vectors Dense vecto…

Three weeks into testing, a learner told me my AI tutor gave her the wrong answer. Not obviously wrong — just outdated enough to mislead. That was the moment I realized something most RAG systems quietly ignore: they have no sense of time. My system retrieved the most similar document, not the most current one. And in a knowledge base that changes constantly, that’s a serious flaw. The fix wasn’t…

Computer Science > Computation and Language Title:LLMs Corrupt Your Documents When You Delegate View PDF HTML (experimental)Abstract:Large Language Models (LLMs) are poised to disrupt knowledge work, with the emergence of delegated work as a new interaction paradigm (e.g., vibe coding). Delegation requires trust - the expectation that the LLM will faithfully execute the task without introducing e…

I've been working on a project that requires multiple AI "characters" to behave differently in the same conversation — think of it like NPCs in a game, except each one needs to respond based on their role, personality, and the current situation. Here's what I learned about making this work reliably. The problem If you just tell an AI "you are character A" and "you are character B" in separate pro…

All my clients wanted a carousel, now it's an AI chatbot! 2026-03-14 12:55 It always starts the same way. The client pulls out their phone mid-meeting, navigates to a competitor's website, and holds the screen up like evidence. "You see? They have one of those." A little bubble. Bottom right corner. Blinking... For years, that gesture was about carousels. Every homepage had to have one, big, slow…

Nature Communications, Published online: 09 May 2026; doi:10.1038/s41467-026-72297-9 Large language models detect speciesist statements but often reproduce mainstream moral reasoning that treats harm toward animals as acceptable. Here, the authors demonstrate that they reflect human-like trade-offs, highlighting the need to extend AI fairness frameworks.

Connect Google Gemini AI with Spring Boot and React AI is no longer a concept reserved only for research labs or big tech companies. Today, developers can add powerful AI features to everyday applications with very little effort. In this blog, I’ll show you how to integrate Google’s powerful Gemini AI into a full-stack application using a Spring Boot backend and a React frontend . This will be a …

The dominant paradigm for teaching autonomous language‑model agents is to let each instance wander through its own training episodes, rediscovering the same sub‑tasks over and over. That redundancy inflates exploration budgets and leaves even modest models struggling on long‑horizon problems. A fully automated pipeline that extracts reusable, hierarchical behaviors from a collective pool of traje…

I’ll be exploring how local AI models can power practical real-world applications without depending entirely on cloud APIs. My focus will likely be around: Local AI assistants Offline-first AI workflows Travel or real-estate use cases Lightweight AI tools for everyday users I’m especially interested in experimenting with: Gemma 4 Ollama Local LLM deployment Node.js integrations AI-powered web app…

We are all having to keep revising upwards our assessments of the mathematical capabilities of large language models. I have just made a fairly large revision as a result of ChatGPT 5.5 Pro, to which I am fortunate to have been given access, producing a piece of PhD-level research in an hour or so, with no serious mathematical input from me. The background is that, as has been widely reported, LL…

1️⃣ Introduction Welcome to the ultimate Open-WebUI guide. If you've ever wanted the power and sleek interface of ChatGPT but with the privacy of a local server, you are in the right place. Ollama is a lightweight inference engine that makes running large language models (LLMs) dead simple, while Open-WebUI (formerly Ollama WebUI) provides a beautiful, feature-rich, and extensible front-end. By c…

If you run a forum, community, or any platform that accepts user-generated content, you've already felt it: the flood. Posts that technically answer the question but say nothing. Replies that hover at 400 words of confident-sounding noise. Comments that begin with "Great question!" and end with a bulleted list of things you could have googled in 30 seconds. AI-generated content isn't going away. …

Bash is one of the most flexible and powerful interfaces exposed to AI agents. In the right system, a model that emits grep, curl, tar, or a shell pipeline is...

After uploading what felt like the 100th sensitive contract to a "free" PDF site, I realized I had no idea where those files were going. So I built BunnyConvert — 24 PDF tools that run entirely in your browser using JavaScript. What It Does 24 tools so far: Sign PDF (with cursive fonts, drag-to-position) Merge / Split / Compress / Rotate JPG/PNG/HEIC → PDF PDF → Word/Excel/PowerPoint/Image Waterm…

ChatGPT, a sophisticated generative machine learning chatbot, has impressed users with its groundbreaking capabilities, showcasing improved conversational skills and exceptional professional knowledge and contextual awareness. A plethora of scholars is investigating ChatGPT via various technology adoption frameworks, including the theory of planned behavior. The current study seeks to augment exi…