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!Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! Featuring:Shawn Wang – Website, GitHub, XAlessio Fanelli – Website, GitHub, XDaniel Whitenack – Website, GitHub, XShow Notes:Latent Space podcastFeatured Latent Space episodes: BenchmarksReza ShabaniMosaicML and MPTSegment AnythingMike ConoverFeatured Practical AI episodes: From notebooks to Netflix scale with MetaflowCapabilities of LLMs 🤯 ML at small organizationsPrediction GuardData DanSomething missing or broken? PRs welcome!