> For the complete documentation index, see [llms.txt](https://gptbrowsers-source.gitbook.io/gpt-browser/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gptbrowsers-source.gitbook.io/gpt-browser/framework.md).

# Framework

Various frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers have been used for the development of AI models similar to GPTBrowser. These frameworks provide a set of tools, libraries, and APIs that allow developers to build, train, and deploy deep learning models more efficiently. For example, Hugging Face Transformers provides a set of pre-trained models, including the GPT family, that can be fine-tuned on specific tasks or data sets. These frameworks can help accelerate the development of AI models and make it easier for developers to experiment with different architectures and hyperparameters.