Let’s talk large language models

Let’s talk large language models

Up next

Lights, camera, open source!

Ryan is joined on the show by Cult.Repo producers Emma Tracey and Josiah Mcgarvie to discuss making documentaries about open-source software and the people behind the major technologies that uphold the internet. They explore why open-source projects and the people who maintain th ...  Show more

How to get multiple agents to play nice at scale

SPONSORED BY INTUITChase Roossin, group engineering manager, and Steven Kulesza, staff software engineer, from Intuit join the podcast to chat about what might be the hardest problem in engineering right now: getting multiple AI agents to work together in a complex system. They d ...  Show more

Recommended Episodes

Don't forget to jargon check your AI
Equity

This week on Equity, Alex was joined by Nathan Baschez, the CEO and founder of Lex, an AI-infused online writing tool that recently raised capital. Together, we're talking through a few key topics that have been top of mind in recent months: How many AI-powered, or AI-using writ ...  Show more

Teaching AI To Read Our Emotions — With Alan Cowen
Big Technology Podcast

Alan Cowen is the CEO and founder Hume AI. Cowen joins Big Technology Podcast to discuss how his company is building emotional intelligence into AI systems. In this conversation, we examine why AI needs to learn how to read emotion, not just the literal text, and examine at how H ...  Show more

The REAL Potential of Generative AI
Y Combinator Startup Podcast

What is a large language model? How can it be used to enhance your business? In this conversation, Ali Rowghani, Managing Director of YC Continuity, talks with Raza Habib, CEO of

  Show more

Audio long read: How does ChatGPT ‘think’? Psychology and neuroscience crack open AI large language models
Nature Podcast

AIs are often described as 'black boxes' with researchers unable to to figure out how they 'think'. To better understand these often inscrutable systems, some scientists are borrowing from psychology and neuroscience to design tools to reverse-engineer them, which they hope will ...  Show more