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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