YoVDO

Will LLMs Kill Search? The Future of Information Retrieval

Offered By: Aleksa Gordić - The AI Epiphany via YouTube

Tags

Information Retrieval Courses Artificial Intelligence Courses Machine Learning Courses Retrieval Augmented Generation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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 2
Pinecone 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