Learning from the Master: Using ChatGPT for Reinforcement Learning - part 2 - Solita Data

In the first part of this series, we explored the capabilities of ChatGPT, a state-of-the-art language model developed by OpenAI, in assisting data scientists with tasks such as data cleaning, preprocessing, and code generation. In this second part, we will delve deeper into what ChatGPT generated and why it didn't work. We will discuss the specific challenges that come with using AI-generated code, and how to effectively address these issues to ensure the reliability and accuracy of the final product. Whether you're a data scientist or a developer, this post will provide valuable insights into how to use ChatGPT to improve your workflow and streamline your development process.