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1
Intro
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Why is fine-tuning a bad idea
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RAG - retrieval augmented generation
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Issues with lexical search
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Multilingual Embed Model
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Search On More Complex Data
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Cohere-Rerank
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Conclusion
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Q&A section
Description:
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
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