A popular way to explain how current LLMs work is to say that “all” they do is predict the next most likely word in a sentence. From one perspective, this is correct. Trained on all human language, ...

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

Large Language Models (LLMs ) are everywhere, but how exactly do they work under the hood? [Miguel Grinberg] provides a great explanation of the inner workings of LLMs in simple (but not simplistic) ...

Since large language models (LLMs) and generative AI (GenAI) are increasingly being embedded into enterprise software, barriers to entry – in terms of how a developer can get started – have almost ...

For centuries, humans have sought ways to sharpen their mental edge, turning to stimulants like caffeine, nootropics, and, more recently, off-label use of prescription medications such as Adderall to ...

Large language models can write essays, summarize legal clauses, explain ancient history, draft emails, and produce code that ...

Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...

Businesses must start exploring emerging technology, such as Artificial Intelligence, via careful experiments that safely and securely explore proven use cases. That was the conclusion of a panel of ...

This piece was originally published on David Crawshaw's blog and is reproduced here with permission. This article is a summary of my personal experiences with using generative models while programming ...

Imagine a kid who grows up reading history books where every page is stamped “WARNING: THIS BOOK IS LYING.” You’d expect them to come away skeptical, or at least uncertain. New research on so-called ...

A technical paper titled “Explaining EDA synthesis errors with LLMs” was published by researchers at University of New South Wales and University of Calgary. “Training new engineers in digital design ...