Generative AI and Large Language Models: Fine-tuning with SageMaker, PEFT, RLHF and PPO

Learn advanced techniques for fine-tuning Large Language Models (LLMs) in this comprehensive 2.5-hour workshop focused on Amazon SageMaker implementation. Master parameter-efficient fine-tuning (PEFT) methodologies, explore reinforcement learning with human feedback (RLHF), and understand proximal policy optimization (PPO) for optimizing model performance. Gain hands-on experience using Amazon SageMaker's powerful tools and frameworks to customize and enhance LLM capabilities for specific use cases and applications.