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binmakeswell merged 1 commit into from
Feb 7, 2023
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[tutorial] add video link #2619

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16 changes: 8 additions & 8 deletions examples/tutorial/README.md
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Expand Up @@ -20,13 +20,13 @@ quickly deploy large AI model training and inference, reducing large AI model tr

## Table of Content

- Multi-dimensional Parallelism [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/hybrid_parallel)
- Sequence Parallelism [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/sequence_parallel)
- Large Batch Training Optimization [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/large_batch_optimizer)
- Automatic Parallelism [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/auto_parallel)
- Fine-tuning and Inference for OPT [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/opt)
- Optimized AlphaFold [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/fastfold)
- Optimized Stable Diffusion [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/diffusion)
- Multi-dimensional Parallelism [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/hybrid_parallel) [[video]](https://www.youtube.com/watch?v=OwUQKdA2Icc)
- Sequence Parallelism [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/sequence_parallel) [[video]](https://www.youtube.com/watch?v=HLLVKb7Cszs)
- Large Batch Training Optimization [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/large_batch_optimizer) [[video]](https://www.youtube.com/watch?v=9Un0ktxJZbI)
- Automatic Parallelism [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/auto_parallel) [[video]](https://www.youtube.com/watch?v=_-2jlyidxqE)
- Fine-tuning and Inference for OPT [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/opt) [[video]](https://www.youtube.com/watch?v=jbEFNVzl67Y)
- Optimized AlphaFold [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/fastfold) [[video]](https://www.youtube.com/watch?v=-zP13LfJP7w)
- Optimized Stable Diffusion [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/diffusion) [[video]](https://www.youtube.com/watch?v=8KHeUjjc-XQ)


## Discussion
Expand All @@ -37,7 +37,7 @@ If you think there is a need to discuss anything, you may jump to our [Slack](ht
If you encounter any problem while running these tutorials, you may want to raise an [issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) in this repository.

## 🛠️ Setup environment
You should use `conda` to create a virtual environment, we recommend **python 3.8**, e.g. `conda create -n colossal python=3.8`. This installation commands are for CUDA 11.3, if you have a different version of CUDA, please download PyTorch and Colossal-AI accordingly.
[[video]](https://www.youtube.com/watch?v=dpMYj974ZIc) You should use `conda` to create a virtual environment, we recommend **python 3.8**, e.g. `conda create -n colossal python=3.8`. This installation commands are for CUDA 11.3, if you have a different version of CUDA, please download PyTorch and Colossal-AI accordingly.

```
# install torch
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