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Train Sentence Transformers by Generating Queries - GenQ

James Briggs via YouTube

Overview

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This course demonstrates the GenQ method for fine-tuning sentence-transformer bi-encoders from unstructured text. It covers T5 query generation, synthetic query-passage pairs, asymmetric semantic search, and multiple-negatives ranking loss with Python code walkthroughs.

Syllabus

Intro
Why GenQ?
GenQ Overview
Training Data
Asymmetric Semantic Search
T5 Query Generation
Finetuning Bi-encoders
GenQ Code Walkthrough
Finetuning Bi-encoder Walkthrough
Final Points

Taught by

James Briggs

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