What you’ll learn

  • Learn How to Use OpenAI’s Software
  • Installing and Managing Reinforcement Learning Software
  • Understanding Reinforcement Learning from Human Feedback (RLHF)
  • Understanding Concepts of Reinforcement Learning
  • Using Reinforcement Learning to Solve a Variety of Problems
  • Exploring GPT-3.5 & ChatGPT


Note: This course will be regularly updated.

Welcome to this course on reinforcement learning and OpenAI ChatGPT! In this course, you’ll get a comprehensive introduction to the exciting field of from Human Feedback (RLHF) and learn how to use the OpenAI software such as ChatGPT to solve complex problems. ChatGPT is a prototype artificial intelligence chatbot developed by OpenAI which specializes in dialogue. The chatbot is a large language model fine-tuned with both supervised and reinforcement learning techniques. It is a fine-tuned version of a model in OpenAI’s GPT-3.5 family of language models.

But first, let’s make sure you have the necessary background to get the most out of this course. You should have some basic Python programming experience, a good understanding of math, familiarity with the Linux and Bash terminal, and know how to use Jupyter notebooks.

Now, let’s dive into the details. You’ll start by learning the key terminology and concepts of reinforcement learning, and how it can be used to solve a variety of problems. You’ll then learn how to install and manage reinforcement learning software, and become proficient with OpenAI’s API and ChatGPT.

You’ll also learn how to determine if a problem is best suited for reinforcement learning, and see examples of how to apply reinforcement learning to solve problems in computer games. By the end of this course, you’ll have a solid foundation in Reinforcement Learning from Human Feedback (RLHF) and the skills to start tackling your own reinforcement learning problems.

So get ready to dive into the exciting world of Reinforcement Learning from Human Feedback (RLHF) and OpenAI’s ChatGPT – the possibilities are endless

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