nlp

Argentina just got its first national MCP ecosystem — and it was built from Bahía Blanca. CHE MCP is an intelligent gateway that connects any AI agent with real-time Argentine data. Dollar exchange rates, weather, football, tax compliance (ARCA), inflation, public transit — 80+ official data sources through a SINGLE MCP server. Why does this matter? Because right now, if you want your AI to answe…

Google’s AMIE research AI matched primary care physicians overall in simulated, multi-visit disease-management reasoning and scored higher on several measures of plan appropriateness, treatment precision, investigation precision, and guideline alignment. The study highlights the promise of conversational AI for longitudinal care, while emphasizing that AMIE is not ready for clinical use and still…

The $6.5M Opportunity Hidden in Manual Workflows Following a large acquisition, a leading European real estate provider faced a mandate from its board: reduce total operating costs by $6.5 million. The initial instinct was headcount reduction. The actual solution was smarter: identify every workflow where a human was performing a task that a language model could handle with equal or greater accur…

How might teachers use artificial intelligence to help students expand their vocabulary? Teacher-author Brett Vogelsinger shares strategies he has used to encourage learners to explore new words while also examining the bias and limitations found in AI creations and feedback. The post Sharpen AI Skills While Kids Learn New Words first appeared on MiddleWeb .

If you trace the timeline of how LLMs went from a technologist's dream to early text-generation toys, to the world-shifting launch of ChatGPT, and finally to the daily drivers of modern programming (Sonnet, Opus), it has taken less than a decade. It’s a thrilling, almost unbelievable tale. Let's look at how we got here, and the wall the industry is currently hitting. The Dream Phase (2010-2016). …

I keep seeing the same pattern with AI agents: the demo works, the first workflow is exciting, and then the boring operational questions show up. What is installed? Which model/provider/config is this run using? What tool calls happened? Which actions needed approval? Can I replay the failure, resume the run, or prove what changed? That gap is what we are building around at Armorer Labs. Armorer …

By Aritra Mondal | Built for the Google Gen AI Academy "Meet the Builders" Campaign 💡 The Everyday Struggle Imagine Ramesh, a 45-year-old farmer from Maharashtra earning ₹1.5 Lakhs a year. The Indian Government has multiple schemes designed exactly for people like him—subsidies for seeds, healthcare benefits, and financial aid. But there’s a catch. To get these benefits, Ramesh needs to know the …

Picture a regional bank’s support chatbot fielding a late-night question from a customer worried about an overdraft. The bot, eager to help, explains that the bank waives the first overdraft fee each month and offers a 48-hour grace period to top up the account. It sounds reasonable and something a bank would do. It’s also ... Read more » The post How to monitor an AI chatbot live for hallucinati…

Understanding ow LLMs interact with the world around them, from returning data to taking action The post Tool Calling, Explained: How AI Agents Decide What to Do Next appeared first on Towards Data Science .

Vibe coding is not a level. It's an axis. Mike Czerwinski Mike Czerwinski Mike Czerwinski Follow Jun 21 Vibe coding is not a level. It's an axis. # ai # llm # productivity # architecture 7 reactions 2 comments 4 min read

Why a simple string match beat Apple's NLEmbedding for local RAG how apple's nlembedding drove me crazy and how i built my own hybrid search engine recently, while working on my personal ai agent (pheronagent), i was focused on perfecting its memory and retrieval system. everyone is talking about that famous acronym: rag (retrieval-augmented generation). the system is simple: i feed the agent my …

Solstice Turing Simulation: An Interactive 3D Imitation Game Powered by Google Gemini 🌅🤖 🪐 Development Team Himanshu Yeole/ https://github.com/himanshuyeolecse-jpg - Core Engine & Architecture Lead 🚀 Project Overview Solstice Turing Simulation is a responsive web application designed as an interactive implementation of Alan Turing’s classic Imitation Game. Set against a stylized architectural bac…

Solstice Turing Simulation: An Interactive 3D Imitation Game Powered by Google Gemini 🌅🤖 🪐 Development Team Himanshu Yeole/ https://github.com/himanshuyeolecse-jpg - Core Engine & Architecture Lead 🚀 Project Overview Solstice Turing Simulation is a responsive web application designed as an interactive implementation of Alan Turing’s classic Imitation Game. Set against a stylized architectural bac…

Solstice Turing Simulation: An Interactive 3D Imitation Game Powered by Google Gemini 🌅🤖 🪐 Development Team Himanshu Yeole/ https://github.com/himanshuyeolecse-jpg - Core Engine & Architecture Lead 🚀 Project Overview Solstice Turing Simulation is a responsive web application designed as an interactive implementation of Alan Turing’s classic Imitation Game. Set against a stylized architectural bac…

Sure, anyone can use OpenAI’s chatbot. But with smart engineering, you can get way more interesting results.

Most candidates who try to prepare for a job interview using AI are doing it wrong. They paste a job description, ask for common questions, and call it preparation. I see the results of this constantly as a headhunter: strong resumes that get people into the room, followed by flat boring answers to questions they could have predicted, gaps in company knowledge they could have closed in an hour, a…

The 100,000 whys of AI One of the most painful arguments I keep having with fellow techies is the question of whether you can distinguish between human-written and AI-generated text. Their skepticism is rooted in reason: at their core, LLMs are state-of-the-art statistical models of how humans talk. If so, the output from the model should be almost by definition indistinguishable from human langu…

Building Reliable Agentic AI Systems A Case Study in building production-ready agentic AI systems This paper presents the Preclinical Information Center (PRINCE), a cloud-hosted platform developed by Bayer AG with Thoughtworks to address pharmaceutical industry challenges in drug development. PRINCE leverages Agentic Retrieval-Augmented Generation and Text-to-SQL to integrate decades of safety st…

Wiring an LLM as a first-class Yjs peer is architecturally sound — but it invalidates three silent assumptions your collaboration stack already makes about peer symmetry: throughput, undo ownership, and presence cadence. You've tuned a Yjs provider under real collaborative load. You know the feeling before you can name it — one heavy client starts lagging the room, presence updates stutter, and y…

When a coding agent fails, the visible error is rarely the whole story. You might see: a tool call that never ran a command repeated again and again a sudden token spike a provider rejecting a request with 400 Bad Request an agent that says it edited a file but did not a long session that starts producing shallow or confused answers The usual reaction is to tweak the prompt and try again. Sometim…