Pattaniyil, Ravi, & Zengin - Using LLMs to improve your Search Engine | PyData Global 2023

Опубликовано: 06 Сентябрь 2024
на канале: PyData

443

www.pydata.org

Every corner you look, everyone is talking about Large Language Models (LLMs).
Are you feeling a bit overwhelmed and looking for a simple intro and guided application of LLMs ?

Many internet companies have a search engine.
In this tutorial, we will cover practical use case of LLMS in improving a search engines such as

1) Understanding user intent in query
2) Checking if query is relevant to a document
3) Fine-tuning LLMs with custom corpus .
4) Updating the search engine documents with LLM knowledge.

This tutorial is meant to be beginner friendly and will focus on the practical use case.
No prior experience on search or advance machine learning needed.
Google Colab and an e-commerce dataset will be provided.

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

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