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...
Google Agents paper: https://ppc.land/content/files/2025/0...
- @jherr episode about implementing MCP server:
YouTube: • Jack Herrington: Model Context Protoc...
Apple: https://podcasts.apple.com/nz/podcast...
Spotify: https://open.spotify.com/episode/5u7R...
John McBride episode about fine-tuning Mistral 7B at OpenSauced
YouTube: • John McBride: How to Build Your Own C...
Apple: https://podcasts.apple.com/us/podcast...
Spotify: https://open.spotify.com/episode/77UW...
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