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 ...

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, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

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 ...

When asked to recommend a physician, urgent care center, or hospital system, AI models don’t rely on a single “best” source. Instead, they aggregate and compare signals across the web, giving more ...

AI doesn’t just simulate human thinking and language—it mimics our cognitive biases too. Overconfidence is one of the most powerful and overlooked issues.

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.

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 ...

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 ...

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 ...