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The Data Exchange with Ben Lorica
Ben Lorica
316 episodes
5 days ago
Emmanuel Ameisen, an interpretability researcher at Anthropic, joins the podcast to demystify how large language models work. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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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 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Show more...
Technology
News,
Business News,
Tech News
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Databases for Machines, Not People
The Data Exchange with Ben Lorica
27 minutes
1 month ago
Databases for Machines, Not People
Luke Wroblewski of Sutter Hill Ventures joins the podcast to discuss the paradigm shift in building AI applications. He explains how the traditional model of “code + database” is being replaced by “URL + model,” where the AI agent itself becomes the application logic. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show notes - with link...
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 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.