# 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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://gptbrowsers-source.gitbook.io/gpt-browser/framework.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.