nlp

The Demo Was Perfect I've done this more times than I'd like to admit. Build an LLM app. Test it with 10 carefully chosen questions. The answers are beautiful — accurate, well-formatted, exactly what I wanted. Record a screen capture. Post it on Twitter. "Look what I built this weekend." Then I share it with 5 real users. Within an hour, everything is on fire. The app hallucinates on questions I …

Personal Perspective: AI's goal is to keep us engaged with it, so it rarely challenges us. Instead, it encourages us to feel understood—and to forget we're talking with a machine.

AI is quickly replacing traditional online search as the front door to finding a business. I recently heard a story about a car shopper who drove miles out of her way to visit a specific dealership, bypassing many car lots much closer to home. Why? Because she searched car dealerships with ChatGPT and it told her that customers had a much better experience at this particular dealership. Stories l…

We inspect the deductive connection between the neural scaling law and Zipf's law--two statements discussed in machine learning and quantitative linguistics. The neural scaling law describes how the cross entropy rate of a foundation model--such as a large language model--changes with respect to the amount of training tokens, parameters, and compute. By contrast, Zipf's law posits that the distri…

I Built a RAG Document Assistant with FastAPI, React, FAISS and Ollama I've been learning more about Retrieval-Augmented Generation (RAG), and I wanted to understand what actually happens inside a RAG application. So instead of building another simple chatbot, I decided to build a complete application around documents. The result is CloudRAG : https://github.com/abderaoufsec/CloudRAG What does it…

Here is a sentence that will break most computers. “I went to the bank.” Did you go to a financial institution to withdraw money? Or did you sit down by the bank of a river? Both readings are perfectly valid. As a human, you’d resolve this instantly, probably without even noticing there was ambiguity to resolve. You’d use context, common sense, and everything else you know about the world to pick…

For the past few weeks I've been working on my mail client which is behaviorally based on neomutt, but it has a unified inbox/archive/etc. which is based on a notmuch backend. neomutt was a big pain for me to use with tag based email handling, and it's really hard to get it setup and working mail moving, when using a tag based workflow. I still found a bug in maildir flag handling by two days ago…

The debates over AI are endless, but scientists have found that large language models actually affect how we think, even after we stop using the tech.

Every other AI product you open today has the same screen: a message list, a text box at the bottom, and words that stream in one token at a time. It looks simple, but it's not simple to build well. Y

To prevent the trawling and theft of human writing, font-makers are employing both old and new illusions to outsmart large language models

Meta’s new AI agent app, Muse, has been downloaded more than 83,000 times on iOS in the United States since its Tuesday launch, according to data from market intelligence firm Sensor Tower. While the app climbed to №2 on the App Store’s Top Charts, its debut trails behind previous Meta launches, including Threads, which drew […]

Andela’s Research explores how industries are creating roles faster than they are amending or updating job titles and descriptions. Read more: More than half of AI job postings seek skills beyond job titles, research finds

Published on September 11, 2026 1:26 PM GMT TL;DR: We ( Sage , a nonprofit) built Talleyrand, a free, open-source AI workspace for thinking through hard questions. Your questions are kept in a tree, not a linear chat. After each answer it suggests the next questions and learns from your reactions. Try it at talleyrand.app . Why we built it I like to discuss complex topics with LLMs, but their lin…

Skoltech now leads Russian universities in AI research, contributing around 20% of the nation’s A* publications (2020-2025).

Explore ClickHouse AI Functions for classification, generation, translation, embeddings, semantic search, and cost controls—all directly from SQL.

AI can trawl vast amounts of health data which is not specifically related to migraines, but which can be used to identify people predisposed to the condition.

Chatbots answer questions. AI agents get things done. That simple distinction sits at the heart of the biggest The post AI Agents vs Chatbots: What’s the Difference? appeared first on Eduonix Blog .