Completed
02:48 Human Feedback and Supervised Fine-Tuning
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Classroom Contents
Scaling Reinforcement Learning
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- 1 00:00 Introduction to Reinforcement Learning
- 2 00:32 Agenda Overview
- 3 01:15 Foundations of Distributed Reinforcement Learning
- 4 02:06 Challenges in Distributed Learning
- 5 02:48 Human Feedback and Supervised Fine-Tuning
- 6 04:10 Distributed Implementation Strategies
- 7 06:17 Cloud Native Architectures and Frameworks
- 8 09:19 Production Deployment Strategies
- 9 14:21 Emerging Trends and Future Directions
- 10 16:59 Conclusion and Q&A
