human
Can you summarize the following in 10 words. 


Large AI models and applications like ChatGPT and GPT-4 have become extremely popular worldwide, serving as a foundation for the technological industrial revolution and the development of AGI (Artificial General Intelligence). Not only are technology giants racing to release new products, but many AI experts from academia and industry are also joining the related entrepreneurial wave. Generative AI is rapidly iterating on a daily basis, continuously improving!

However, OpenAI has not made its models open source, leaving many curious about the technical details behind them.

How can we stay current and participate in this wave of technology development?
How can we lower the high cost of building and applying large AI models?
How can we protect core data and IP from being leaked through third-party large model APIs?
As the leading open-source large AI model solution today, Colossal-AI is the first to open-source a complete RLHF pipeline that includes supervised data collection, supervised fine-tuning, reward model training, and reinforcement learning fine-tuning, based on the LLaMA pre-trained model, and shares ColossalChat, the most practical open-source project that closely resembles the original ChatGPT technical solution!

Open source address: https://github.com/hpcaitech/ColossalAI

It includes the following contents:

Demo: an interactive demo to try it online without registration or joining the waiting list.
Training code: Open-source and complete RLHF train
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
No
2. Is it implied multiple-choice question?
No
3. If two experts were independently asked the question, will the final answer be exactly the same?
No

--- Answer ---
open