Practical AI: Machine Learning, Data Science
Technology
Daniel had the chance to sit down with @swyx and Alessio from the Latent Space pod in SF to talk about current AI trends and to highlight some key learnings from past episodes. The discussion covers open access LLMs, smol models, model controls, prompt engineering, and LLMOps. This mashup is magical. Don’t miss it!
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Timestamps:
(00:00) - Welcome to Practical AI
(01:16) - Latent Space Podcast
(04:00) - Practical AI Podcast
(06:20) - Prediction Guard
(08:05) - Daniel's favorite episodes
(10:21) - Alessio's favorite episode
(10:54) - Swyx's favorite episode
(12:44) - Listener favorites
(15:14) - LLMOps
(17:06) - Reza Shabani
(19:06) - Benchmarks 101
(20:06) - Roboflow
(21:38) - Mode collapse
(26:21) - Rajiv Shah
(28:01) - Staying on top of things
(33:11) - Kirsten Lum
(34:31) - datadan.io
(38:48) - Prompt engineering
(40:38) - Unique challenges engineers face
(42:51) - AI-UX
(45:31) - NLP data sets
(50:49) - Unlabeled data sets
(55:07) - Lightning round!
(55:20) - What's already happened in AI?
(56:27) - Unsolved questions in AI
(58:01) - Get hands on
(58:53) - Outro
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