Reinforcement Learning from Human Feedback From Zero to ChatGPT [Record of the live]

Course Overview

What skills and knowledge will you acquire during this course? This course will provide learners with the skills and knowledge to understand the fundamentals of reinforcement learning from human feedback, natural language processing, and how these technologies are used to create state-of-the-art ML tools like ChatGPT. Learners will gain an understanding of the interconnected ML models and the basics of RL that are necessary to use RLHF on large language models. Additionally, learners will be exposed to open questions in RLHF and gain insight into the research of Nathan Lambert and Thomas Twitter. How does this course contribute to professional growth? This course provides a comprehensive overview of Reinforcement Learning from Human Feedback (RLHF) and its application to state-of-the-art ML tools like ChatGPT. It covers the fundamentals of Natural Language Processing and RL, and provides an understanding of how RLHF is used on large language models. By taking this course, professionals can gain a deeper understanding of the interconnected ML models and the latest advancements in RLHF, enabling them to stay up-to-date with the latest developments in the field. Is this course suitable for preparing further education? This course provides an overview of the interconnected ML models and covers the basics of Natural Language Processing and Reinforcement Learning that are necessary to understand how Reinforcement Learning from Human Feedback (RLHF) is used on large language models. It is a great starting point for those interested in furthering their education in the field of ML and RL.