Examples of LLMs:

The open source AI model you can fine-tune, distill and deploy anywhere. Our latest instruction-tuned model is available in 8B, 70B and 405B versions.

• https://www.llama.com/

Hugging Face offers pre-trained models like GPT, BERT, and more. You can fine-tune existing models or train your own from scratch.

• Website: https://huggingface.co/models
• Documentation for training: https://huggingface.co/docs/transformers/training

While OpenAI provides access to GPT-4, it’s not open for personal fine-tuning or training directly on their hosted servers. However, you can experiment via the API.

• Website: https://openai.com
• API for GPT models: https://beta.openai.com/docs/

Cohere offers large language models with options to fine-tune using your own data.

• Website: https://cohere.ai
• Fine-tuning guide: https://docs.cohere.ai/fine-tune/

You can find pre-trained models or use TensorFlow to build and train your own model.

• Website: https://tfhub.dev
• Training documentation: https://www.tensorflow.org/tutorials

EleutherAI provides open-source models like GPT-Neo and GPT-J, which can be fine-tuned or trained on custom datasets.

• Website: https://www.eleuther.ai
• GitHub repo: https://github.com/EleutherAI

Anthropic provides AI research tools and models like Claude for safer AI development and offers ways to experiment with fine-tuning.

• Website: https://www.anthropic.com