@ -60,6 +60,19 @@ We also support training reward model with true-world data. See `examples/train_
- [ ] integrate with Ray
- [ ] support more RL paradigms, like Implicit Language Q-Learning (ILQL)
## Invitation to open-source contribution
Referring to the successful attempts of [BLOOM](https://bigscience.huggingface.co/) and [Stable Diffusion](https://en.wikipedia.org/wiki/Stable_Diffusion), any and all developers and partners with computing powers, datasets, models are welcome to join and build an ecosystem with Colossal-AI, making efforts towards the era of big AI models from the starting point of replicating ChatGPT!
You may contact us or participate in the following ways:
1. Posting an [issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) or submitting a [PR](https://github.com/hpcaitech/ColossalAI/pulls) on GitHub