Emmanuel Ameisen, an interpretability researcher at Anthropic, joins the podcast to demystify how large language models work. Subscribe to the Gradient Flow Newsletter 馃摡 https://gradientflow.substack.com/ Subscribe: Apple 路 Spotify 路 Overcast 路 Pocket Casts 路 AntennaPod 路 Podcast Addict 路 Amazon 路 RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
All content for The Data Exchange with Ben Lorica is the property of Ben Lorica and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Emmanuel Ameisen, an interpretability researcher at Anthropic, joins the podcast to demystify how large language models work. Subscribe to the Gradient Flow Newsletter 馃摡 https://gradientflow.substack.com/ Subscribe: Apple 路 Spotify 路 Overcast 路 Pocket Casts 路 AntennaPod 路 Podcast Addict 路 Amazon 路 RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Ben Lorica and Evangelos Simoudis discuss some takeaways for AI practitioners from the recent AI Conference. They cover the disconnect between the hype and reality of AI agents in the enterprise, the critical importance of building reliable and trustworthy AI applications, and the potential impact of new H-1B visa policies on tech startups and innovation. Subscribe to the Gradient Flow Newsletter 馃摡 https://gradientflow.substack.com/ Subscribe: Apple 路 Spotify 路 Overcast 路 Pocket Casts 路...
The Data Exchange with Ben Lorica
Emmanuel Ameisen, an interpretability researcher at Anthropic, joins the podcast to demystify how large language models work. Subscribe to the Gradient Flow Newsletter 馃摡 https://gradientflow.substack.com/ Subscribe: Apple 路 Spotify 路 Overcast 路 Pocket Casts 路 AntennaPod 路 Podcast Addict 路 Amazon 路 RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
