Through two half-days of lectures, demos, and hands-on exercises, you’ll learn how to build and optimize retrieval-augmented generation (RAG) systems that incorporate your business data.

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

The Y Combinator Co-Founder said startup ideas should come after building a deep understanding of the technology.

We identify key concerns: large variance in responses across LLMs, strong sensitivity to minor prompt variations, acceptance ...

Artificial intelligence -- especially the generative variety -- has captivated the unbridled interest of tech professionals and executives alike. Consider this: Despite all the endless talk of budget ...

LAgent is an open-source AI framework designed to transform large language models into versatile agents capable of executing various tasks. This lightweight framework supports multiple functionalities ...

Way back in the summer of 2017, AI researchers at Google put out a paper called “Attention Is All You Need,” in which they described a new type of neural network called a transformer. It proved to be ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

When it comes to chips for artificial intelligence, obviously the name that automatically comes to mind is Nvidia. The company is making a fortune selling semiconductors used for hot AI applications ...

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 ...