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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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How to Make Your Data Truly AI-Ready
The Data Exchange with Ben Lorica
45 minutes
1 month ago
How to Make Your Data Truly AI-Ready
Yoni Leitersdorf, CEO of Solid, joins the podcast to demystify why simply pointing an LLM at a database for text-to-SQL doesn’t work. He explains the critical need for a semantic layer to provide business context, turning raw data into a “Rosetta Stone” that AI can actually understand. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show...
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.