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Practical LLM Fine Tuning For Semantic Search | Dr. Roman Grebennikov
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Join Dr. Roman Grebennikov at MLcon Munich 2024 to explore fine-tuning large language models (LLMs) for semantic search. Discover how to customize models for specific domains like medicine, law, or hardware using open-source tools like sentence-transformers and nixietune. Learn about data requirements, training bi-encoders and cross-encoders, and achieving quality improvements with a single GPU.
📌 Key Highlights:
- Overcome limitations of standard semantic search methods.
- Fine-tune models for better performance in specialized fields.
- Practical insights into data needs and training techniques.
- Real-world examples of enhanced semantic search.
Enhance your semantic search capabilities with expert guidance!
📌 Key Highlights:
- Overcome limitations of standard semantic search methods.
- Fine-tune models for better performance in specialized fields.
- Practical insights into data needs and training techniques.
- Real-world examples of enhanced semantic search.
Enhance your semantic search capabilities with expert guidance!
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