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Serverless RL notebook walkthrough
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Classroom Contents
Build Reliable AI Agents Using W&B Training
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- 1 AI applications are hard to productionize
- 2 Post-training LLMs with reinforcement learning
- 3 Challenges with reinforcement learning
- 4 How W&B Training Serverless RL addresses reinforcement learning challenges
- 5 Multi-agent contact center example
- 6 Evaluating agent LLMs using W&B Weave
- 7 W&B Training quickstart resources
- 8 Serverless RL notebook walkthrough
- 9 Reinforcement learning code for our contact center agent
- 10 Viewing post-training results in W&B Models
- 11 Evaluating our post-trained LLM in Weave
- 12 Recap, conclusion, and invitation to try the Weights & Biases AI developer platform
