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.
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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.
The Fenic Approach to Production-Ready Data Processing
The Data Exchange with Ben Lorica
46 minutes
3 months ago
The Fenic Approach to Production-Ready Data Processing
Kostas Paralis, co-founder of Typedef , discusses Fenic, an open-source data frame framework designed specifically for AI applications that treats inference as a first-class operation within the query engine. 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...
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.
