Large Language Models (LLMs), often recognized as AI systems trained on vast amounts of data to efficiently predict the next part of a word, are now being viewed from a different perspective. A recent ...

Quantum computing software startup Multiverse Computing S.L. said today it has raised €25M (USD $27.1 million) in a new early-stage funding round. The funds from the oversubscribed Series A round will ...

When asked to recommend a physician, urgent care center, or hospital system, AI models don’t rely on a single “best” source.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

It’s time to move past large language models and create a new narrative. The hiccups we’ve experienced from large language models and generative AI — a still-novel technology — since its inception a ...

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...

Learn more about the potential of AI Large Language Models, such as ChatGPT, in this article. Understand how they're revolutionizing productivity and explore their changing relationship with search ...

As AI reshapes industries and global conversations intensify, here's a simple guide to key AI terms including LLMs, generative AI, guardrails, algorithms, AI bias, hallucinations, prompts and tokens.

ChatGPT has become the talk of the town. In recent months, this large language model (LLM) has been highlighted across countless outlets, but many IT experts are still figuring out its potential. Some ...

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 ...