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AI trends: a Latent Space crossover
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Daniel Whitenack and Chris Benson

· 1h 00m

PodcastPractical AI

AI trends: a Latent Space crossover

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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 – Website, GitHub, X
  • Alessio Fanelli – Website, GitHub, X
  • Daniel Whitenack – Website, GitHub, X

Show Notes:

  • Latent Space podcast
  • Featured Latent Space episodes: 
    • Benchmarks
    • Reza Shabani
    • MosaicML and MPT
    • Segment Anything
    • Mike Conover
  • Featured Practical AI episodes: 
    • From notebooks to Netflix scale with Metaflow
    • Capabilities of LLMs 🤯 
    • ML at small organizations
  • Prediction Guard
  • Data Dan

Upcoming Events: 

  • Register for upcoming webinars here!

Original source

This story was published by Practical AI and written by Daniel Whitenack and Chris Benson. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on share.transistor.fm

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