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4 de abr. de 2023 · ColossalChat uses an RHLF pipeline similar to OpenAI’s GPT-4 model, which powers ChatGPT. This new chatbot has the ability to write code, respond intelligently to requests, and also have conversations with you. ColossalChat’s Coati large language model is based on Large Language Model Meta AI or LLaMA, Meta’s open-source large language ...
14 de feb. de 2023 · We recently released new open source code for Colossal-AI, which enables you to use it as a framework for replicating the training process of OpenAI’s popular ChatGPT application optimized for speed and efficiency.. With Colossal-AI's efficient implementation of RLHF (Reinforcement Learning with Human Feedback), you can get started on replicating the ChatGPT training process with just 1.6GB ...
30 de mar. de 2023 · In this video I explain at a high level about Colossal Chat and ChatLLaMa. Both these libraries are opensource libraries with which you can train your Chat...
23 de abr. de 2023 · ColossalChat is an AI-powered chatbot that provides a fun and interactive experience for users to communicate with a virtual assistant. It can handle various tasks, including providing product information, offering customer support, and setting alarms. The chatbot provides customization options, removes offensive content, and continuously ...
27 de abr. de 2024 · Join the Colossal-AI community on Forum, Slack, and WeChat(微信) to share your suggestions, feedback, and questions with our engineering team. Contributing Referring to the successful attempts of BLOOM and Stable Diffusion , any and all developers and partners with computing powers, datasets, models are welcome to join and build the Colossal-AI community, making efforts towards the era of ...
Contribute to Wenlinhan/ColossalAI development by creating an account on GitHub. @article{bian2021colossal, title={Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training}, author={Bian, Zhengda and Liu, Hongxin and Wang, Boxiang and Huang, Haichen and Li, Yongbin and Wang, Chuanrui and Cui, Fan and You, Yang}, journal={arXiv preprint arXiv:2110.14883}, year={2021} }
