ConTejas Code is a podcast in the web engineering space that has deep dives on various topics between frontend engineering with React, TypeScript, Next.js, and backend engineering with Kafka, Postgres, and more. The series is a mix of long-form content and guest episodes with industry leaders in the web engineering space.
From the podcast, listeners will take away actionable best practices that you can integrate into your workflows as well as valuable insights from prominent people in the industry.
Hosted on Acast. See acast.com/privacy for more information.
ConTejas Code is a podcast in the web engineering space that has deep dives on various topics between frontend engineering with React, TypeScript, Next.js, and backend engineering with Kafka, Postgres, and more. The series is a mix of long-form content and guest episodes with industry leaders in the web engineering space.
From the podcast, listeners will take away actionable best practices that you can integrate into your workflows as well as valuable insights from prominent people in the industry.
Hosted on Acast. See acast.com/privacy for more information.
- 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
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.
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
Hosted on Acast. See acast.com/privacy for more information.
