[Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han

Summary

The session introduces RL kernels, agents, and quantization techniques in AI development. Key subjects include contributions to open-source models like Gemma and Llama, and the practical takeaway is to leverage free cloud resources and the project's optimized models for faster, more memory-efficient AI fine-tuning.