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Get up to date with AI in 2025: Agents, Model Context Protocol (MCP), Hybrid Search, RAG, and more...

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Manage episode 493171452 series 3676184
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://ppacc.player.fm/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

- 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


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

88 episodes

Artwork
iconShare
 
Manage episode 493171452 series 3676184
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://ppacc.player.fm/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

- 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


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

88 episodes

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