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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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Content provided by Tejas Kumar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tejas Kumar 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://staging.podcastplayer.com/legal.
Links
- Codecrafters: https://tej.as/codecrafters
- Tejas on X: https://x.com/tejaskumar_
- JSHeroes conference: https://jsheroes.io
- Attention is All You Need Paper: https://scispace.com/pdf/attention-is-all-you-need-1hodz0wcqb.pdf
- Google Agents paper: https://ppc.land/content/files/2025/01/Newwhitepaper_Agents2.pdf
- Jack Herrington episode about implementing MCP server:
- YouTube: https://www.youtube.com/watch?v=0zXyCQV4A84
- Spotify: https://open.spotify.com/episode/5u7ReU2AMnS3TOYuiSwVY1?si=HrBzavRGThOITtYdXDloTA
- John McBride episode about fine-tuning Mistral 7B at OpenSauced
- YouTube: https://www.youtube.com/watch?v=ipbhB3k0ik0
- Apple: https://podcasts.apple.com/us/podcast/1731855333?i=1000663298584
- Spotify: https://open.spotify.com/episode/77UWTis0TxCd1uPOZhGAnJ?si=CUGmHtJ2RxWhmW5MI3XYbg
Summary
This episode is a long-form lecture on AI innovation in 2025. We cover a wide range of topics. For more details, see chapters below.
Chapters
00:00:00 Intro
00:02:31 What is AI?
00:07:30 Limitations of AI
00:14:29 Solving AI Problems with RAG
00:22:51 Embeddings and Vector Databases Explained
00:31:23 Hybrid Search: Vectors and Keywords (BM25)
00:38:17 Rerankers for Maximum Accuracy
00:43:51 RAG vs. Fine-Tuning
00:54:29 AI Agents
01:13:12 Model Context Protocol (MCP)
01:26:12 How to Get Started
01:34:04 Conclusion
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