Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
AI trends: a Latent Space crossover
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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Featuring:
- Shawn Wang – Twitter, GitHub, Website
- Alessio Fanelli – Twitter, GitHub, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Latent Space podcast
- Featured Latent Space episodes:
- Featured Practical AI episodes:
- Prediction Guard
- Data Dan
Something missing or broken? PRs welcome!
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