Lessons From Fine-Tuning Llama-2
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31:02
Ray Scalability Deep Dive: The Journey to Support 4,000 Nodes
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28:18
Fine-tuning Large Language Models (LLMs) | w/ Example Code
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29:11
Developing and Serving RAG-Based LLM Applications in Production
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53:48
Fine-Tuning LLMs: Best Practices and When to Go Small // Mark Kim-Huang // MLOps Meetup #124
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15:08
LLAMA-3.1 🦙: EASIET WAY To FINE-TUNE ON YOUR DATA 🙌
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1:05:27
Fine-tuning Language Models for Structured Responses with QLoRa
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1:00:19
Introduction to Anyscale and Ray AI Libraries
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2:36:50