what is the best unrestricted AI that i can give full internet access to download for local use to train

As of my last knowledge update in October 2023, there are several AI models and frameworks that offer varying levels of capabilities, including the ability to fine-tune or further train them on your local machine. However, it’s essential to clarify that "giving full internet access" to an AI model isn't typically standard practice due to security concerns. Instead, AI models are usually statically trained with datasets up to a certain point and then deployed. Here are some notable unrestricted AIs or frameworks you might consider: 1. **GPT-2/GPT-3 via OpenAI**: While OpenAI manages access to its more advanced models (like GPT-3), smaller models like GPT-2 can be downloaded and run locally. You can further fine-tune them on specific datasets. 2. **EleutherAI Models (GPT-Neo, GPT-J, GPT-NeoX)**: EleutherAI has developed open-source models similar to OpenAI's GPT-3, which you can download and run locally. These models can be fine-tuned as well. 3. **Hugging Face Transformers**: This library provides a very extensive collection of pre-trained models, including various transformer models. You can easily download models and fine-tune them locally. 4. **Meta's LLaMA**: The LLaMA (Large Language Model Meta AI) model set aims to provide competitive performance with open access. Depending on the version, there may be restrictions or requirements for usage. 5. **Stable Diffusion**: If you're interested in generative models specifically for images, Stable Diffusion is a great option that allows for local deployment and fine-tuning. 6. **Rasa**: If you're looking into conversational AI or chatbots, Rasa is an open-source framework that provides you with the ability to create sophisticated dialogue systems and can be trained locally. 7. **OpenNMT or FairSeq**: For machine translation and general sequence-to-sequence tasks, these frameworks allow you to train or fine-tune models on your own datasets. ### Important Considerations: - **Computational Resources**: Many of these models require significant computational resources (GPU/TPU) to fine-tune or use effectively. - **Ethical and Legal**: Always respect ethical guidelines and legal aspects when training or deploying AI models, especially concerning the datasets you use. - **Up-to-Date Information**: Since technology evolves rapidly, check the official repositories for the most current versions and specifications. Before proceeding, ensure you understand the potential implications of running AI models, especially concerning data privacy, bias, and ethical usage.