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?
Will LLMs Kill Search? The Future of Information Retrieval
Aleksa Gordić - The AI Epiphany via YouTube
Overview
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
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