Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Get Up to Speed with AI in 2025: Model Context Protocol, Agents, RAG, Hybrid Search, and More

Tejas Kumar via YouTube

Overview

Coursera Plus Monthly Sale: All Certificates & Courses 40% Off!
Explore a comprehensive 1 hour 36 minute lecture on AI innovation in 2025, covering essential concepts for staying current with artificial intelligence technologies. Learn about AI fundamentals, its limitations, and how Retrieval-Augmented Generation (RAG) addresses key challenges. Dive into technical explanations of embeddings, vector databases, hybrid search combining vectors with keyword-based BM25, and rerankers for improving accuracy. Compare RAG with fine-tuning approaches, understand the emerging field of AI agents, and discover the Model Context Protocol (MCP). The lecture includes practical guidance on getting started with these technologies, with chapters covering each topic systematically from basic concepts to advanced implementations. Resources include links to related content, papers, and podcast episodes for further learning about MCP servers and fine-tuning models like Mistral 7B.

Syllabus

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

Taught by

Tejas Kumar

Reviews

Start your review of Get Up to Speed with AI in 2025: Model Context Protocol, Agents, RAG, Hybrid Search, and More

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.