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Large Language Models with Semantic Search
Coursera MOOC / Non-credit 0

Large Language Models with Semantic Search

About this course

Keyword search has been a common method for search for many years. But for content-rich websites like news media sites or online shopping platforms, the keyword search capability can be limiting. Incorporating large language models (LLMs) into your search can significantly enhance the user experience by allowing them to ask questions and find information in a much easier way. This course teaches the techniques needed to leverage LLMs into search. Throughout the lessons, you’ll explore key concepts like dense retrieval, which elevates the relevance of retrieved information, leading to improved search results beyond traditional keyword search, and reranking, which injects the intelligence of LLMs into your search system, making it faster and more effective.

B

75/100

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What the provider tells you
39/45
Who stands behind it
20/35
How complete the listing is
16/20

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What you'll learn

  • understanding of large language models
  • knowledge of dense retrieval methods
  • ability to implement reranking techniques
  • skills to enhance search systems beyond keyword search

Course objectives

  • to teach techniques for leveraging large language models in search
  • to improve search system effectiveness and relevance
Artificial Intelligence #artificial intelligence #machine learning #large language models #user experience #data science #information retrieval #semantic search #search optimization #dense retrieval #reranking
$49.00

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