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
- Apple: https://podcasts.apple.com/nz/podcast/jack-herrington-model-context-protocol-mcp-growing/id1731855333?i=1000698551942
- 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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