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2 changes: 1 addition & 1 deletion applications/Chat/README.md
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Expand Up @@ -17,7 +17,7 @@
- [Stage1 - Supervised instructs tuning](#stage1---supervised-instructs-tuning)
- [Stage2 - Training reward model](#stage2---training-reward-model)
- [Stage3 - Training model with reinforcement learning by human feedback](#stage3---training-model-with-reinforcement-learning-by-human-feedback)
- [Inference - After Training](#inference---after-training)
- [Inference - After Training](#inference---after-training)
- [Coati7B examples](#coati7b-examples)
- [Generation](#generation)
- [Open QA](#open-qa)
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2 changes: 1 addition & 1 deletion applications/Chat/examples/README.md
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Expand Up @@ -100,7 +100,7 @@ Model performance in [Anthropics paper](https://arxiv.org/abs/2204.05862):
- --max_len: max sentence length for generation, type=int, default=512
- --test: whether is only tesing, if it's ture, the dataset will be small

## Stage3 - Training model using prompts with RL
## Stage3 - Training model using prompts with RL

Stage3 uses reinforcement learning algorithm, which is the most complex part of the training process, as shown below:

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