))
What are LLMs (Large Language Models) and how do you build them?
Manage episode 394571357 series 3490887
Content provided by Brian Foster, Daniel van Eeden, and Ray Paik, Brian Foster, Daniel van Eeden, and Ray Paik. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brian Foster, Daniel van Eeden, and Ray Paik, Brian Foster, Daniel van Eeden, and Ray Paik or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this episode, we talk to Jules Damji from @anyscale and discuss what LLMs are and how they relate to AI. We also have an in depth discussion on what's involved in building LLMs and some of the data requirements.
To learn more about the ray.io community, you can visit https://www.ray.io/
You can also listen on your favorite podcast platforms such as Apple Podcast, Spotify, etc. For a full list of podcast platforms, you can check out https://datainthehallway.buzzsprout.com/.
If you have any feedback or suggestions for episodes, you can email us at podcast@pingcap.com.
————————— About PingCAP and TiDB —————————
PingCAP is the creator of #TiDB, an advanced, #OpenSource, #DistributedSQL database with #MySQL compatibility. TiDB powers modern applications with a streamlined tech stack, elastic scaling, real-time analytics, and continuous access to data—all in a single database.
————————— Developer resources —————————
💫TiDB Twitter: https://twitter.com/TiDB_Developer
💫Introducing TiDB: https://youtu.be/_QBrPBwFoWM
💫Quick start with TiDB: https://docs.pingcap.com/tidb/stable/quick-start-with-tidb
💫TiDB in #Kubernetes: https://docs.pingcap.com/tidb-in-kubernetes/stable
————————— Connect with PingCAP —————————
🔹Twitter: https://twitter.com/PingCAP
🔹LinkedIn: https://linkedin.com/company/pingcap
🔹Facebook: https://facebook.com/pingcap2015
🔹Slack: https://slack.tidb.io/invite?team=tidb-community&channel=everyone&ref=pingcap
🔹GitHub: https://github.com/pingcap
30 episodes
Share
