Will LLMs Kill Search? The Future of Information Retrieval
Offered By: Aleksa Gordić - The AI Epiphany via YouTube
Course Description
Overview
Explore the future of search in this insightful talk featuring Nils Reimers, director of ML at Cohere. Delve into topics such as the drawbacks of fine-tuning, the potential of retrieval augmented generation (RAG), and the limitations of lexical search. Learn about multilingual embed models, searching complex data, and Cohere-Rerank. Gain valuable insights through a comprehensive Q&A session, addressing the question: Will large language models (LLMs) ultimately replace traditional search methods?
Syllabus
Intro
Why is fine-tuning a bad idea
RAG - retrieval augmented generation
Issues with lexical search
Multilingual Embed Model
Search On More Complex Data
Cohere-Rerank
Conclusion
Q&A section
Taught by
Aleksa Gordić - The AI Epiphany
Related Courses
Pinecone Vercel Starter Template and RAG - Live Code Review Part 2Pinecone via YouTube RAG But Better: Rerankers with Cohere AI - Improving Retrieval Pipelines
James Briggs via YouTube Advanced RAG - Contextual Compressors and Filters - Lecture 4
Sam Witteveen via YouTube LangChain Multi-Query Retriever for RAG - Advanced Technique for Broader Vector Space Search
James Briggs via YouTube Canopy: A New RAG Framework for Easy Top-Tier Performance
James Briggs via YouTube