Welcome to RL-GPT, a research project exploring the use of reinforcement learning to train a GPT-4 language model. This project is currently being developed by Graham Waters, and it is based on the latest advancements in deep learning and natural language processing, OpenAI GPT-4, RL algorithms on hugging-face and LLM research.

RL-GPT is an experimental project that aims to improve the efficiency and effectiveness of language model training by using reinforcement learning. In this project, we will train a hypothetical version of the GPT series of language models, GPT-4, using RL techniques to optimize its performance.

@mithril-security - This project with blindai is critical to the development of hyper-personalized LLMs.

Currently, RL-GPT is in its early development stages and is not yet available for general use. However, we plan to release the code and models once we have achieved meaningful results.

If you are interested in contributing to RL-GPT, please feel free to contact us at [email protected]. We welcome any feedback, suggestions, or contributions that could help us improve this project.

RL-GPT is released under the MIT license. See LICENSE for more information.

This project would not be possible without the support and contributions of the open-source community, particularly the developers of OpenAI Whisper, Auto-GPT, @significantgravitas.

If you have any questions, suggestions, or feedback, please contact us at [email protected] We are always happy to hear from you.

Thank you for your interest in RL-GPT!