Reinforcement Learning with Human Feedback (RLHF)

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This Video Uploaded At 01-02-2024 07:21:22

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GPT-4 Summary: Dive into the cutting-edge world of aligning Large Language Models (LLMs) with our comprehensive series, kicking off with a focus on Reinforcement Learning with Human Feedback (RLHF). This crucial session aims to demystify RLHF, a technique pivotal in evolving models like InstructGPT and Llama 2 to be more helpful, honest, and harmless. We'll navigate through the RLHF journey, starting with instruct-tuning pre-trained models, advancing to training a reward model that mirrors human preferences, and culminating in fine-tuning via Reinforcement Learning (RL) to polish model alignment. Our hands-on demonstration will feature the Zephyr-7B-Alpha model and a BERT-style rewards model, guiding you through the process with practical code in a Google Colab notebook environment. Join us to unravel the intricacies of RLHF, understand the selection of policy and reward models, and learn how RL and Proximal Policy Optimization (PPO) can refine LLMs to meet human standards of helpfulness and harmlessness. All code will be provided, ensuring you have the tools to apply these groundbreaking techniques in your own projects.

Event page: https://lu.ma/llmsrlhf

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Dr. Greg, Co-Founder & CEO
https://www.linkedin.com/in/gregloughane

The Wiz, Co-Founder & CTO
https://www.linkedin.com/in/csalexiuk/

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