Practical LLM Fine Tuning For Semantic Search | Dr. Roman Grebennikov

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!

🔗 More about MLcon: https://mlconference.ai/

Видео Practical LLM Fine Tuning For Semantic Search | Dr. Roman Grebennikov канала MLCon | Machine Learning Conference