Large language model OSS

Here is a list of popular OSS (Open Source Software) Large language models:

1. GPT-2

   • GitHub URL: https://github.com/openai/gpt-2
   • GPT-2 is a neural network-based large language model developed by OpenAI. It is trained on data obtained from 8 million web pages and can be used for various natural language processing tasks such as text generation, understanding meaning of sentences, and translation.

2. BERT

   • GitHub URL: https://github.com/google-research/bert
   • BERT is a language model based on the Transformer architecture developed by Google. Its key feature is learning context-aware word representations in sentences, making it suitable for various natural language processing tasks. BERT is commonly used for tasks like text classification, named entity recognition, and sentence similarity.

3. GPT-3

   • GitHub URL: Not public
   • GPT-3 is the successor to GPT-2 and is being developed by OpenAI. GPT-3 achieves further scalability and can be used for tasks such as natural language generation, dialogue systems, translation, and summarization. However, it is not currently open-sourced on GitHub.

4. OpenAI-ChatGPT

   • GitHub URL: https://github.com/openai/chatGPT
   • ChatGPT is an interactive language model developed by OpenAI. Its purpose is to engage in text-based conversations with users. ChatGPT can be used for tasks such as automated response generation and chatbot development.

5. Megatron-LM

   • GitHub URL: https://github.com/NVIDIA/Megatron-LM
   • Megatron-LM is a training framework for large language models developed by NVIDIA. It is specialized for distributed training and training large-scale models. It achieves fast training by integrating with DeepSpeed. Megatron-LM is used for training models like GPT-2.

These are some popular OSS Large language models. Each OSS can be used for various natural language processing tasks, and detailed information along with their GitHub URLs is provided.