AutoGPT is a research project that aims to automate the process of training and fine-tuning GPT (Generative Pre-trained Transformer) models for specific natural language processing (NLP) tasks. The project is developed by the researcher Toran Sahu and is hosted on GitHub.
The main idea behind AutoGPT is to simplify the process of developing GPT-based NLP models by automating several steps, such as architecture selection, hyperparameter tuning, and model evaluation. The project uses a combination of Bayesian optimization, neural architecture search, and other techniques to find the best hyperparameters and architecture for a given NLP task.
AutoGPT is designed to be flexible and can be used for a wide range of NLP tasks, including text classification, question-answering, and text generation. The project is open-source and can be downloaded and modified by other researchers and developers who are interested in automating the process of developing GPT-based NLP models.
Useful Links:
Git for Windows: https://gitforwindows.org/
Python: https://www.python.org/
GitHub: https://github.com/Torantulino/Auto-GPT
AgentGPT: https://agentgpt.reworkd.ai/
