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[doc] SwiftInfer release (#5236) 

* [doc] SwiftInfer release

* [doc] SwiftInfer release

* [doc] SwiftInfer release

* [doc] SwiftInfer release

* [doc] SwiftInfer release
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README.md
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...@@ -25,6 +25,7 @@ ...@@ -25,6 +25,7 @@
</div> </div>
## Latest News ## Latest News
* [2024/01] [Inference Performance Improved by 46%, Open Source Solution Breaks the Length Limit of LLM for Multi-Round Conversations](https://hpc-ai.com/blog/Colossal-AI-SwiftInfer)
* [2024/01] [Construct Refined 13B Private Model With Just $5000 USD, Upgraded Colossal-AI Llama-2 Open Source](https://hpc-ai.com/blog/colossal-llama-2-13b) * [2024/01] [Construct Refined 13B Private Model With Just $5000 USD, Upgraded Colossal-AI Llama-2 Open Source](https://hpc-ai.com/blog/colossal-llama-2-13b)
* [2023/11] [Enhanced MoE Parallelism, Open-source MoE Model Training Can Be 9 Times More Efficient](https://www.hpc-ai.tech/blog/enhanced-moe-parallelism-open-source-moe-model-training-can-be-9-times-more-efficient) * [2023/11] [Enhanced MoE Parallelism, Open-source MoE Model Training Can Be 9 Times More Efficient](https://www.hpc-ai.tech/blog/enhanced-moe-parallelism-open-source-moe-model-training-can-be-9-times-more-efficient)
* [2023/09] [One Half-Day of Training Using a Few Hundred Dollars Yields Similar Results to Mainstream Large Models, Open-Source and Commercial-Free Domain-Specific LLM Solution](https://www.hpc-ai.tech/blog/one-half-day-of-training-using-a-few-hundred-dollars-yields-similar-results-to-mainstream-large-models-open-source-and-commercial-free-domain-specific-llm-solution) * [2023/09] [One Half-Day of Training Using a Few Hundred Dollars Yields Similar Results to Mainstream Large Models, Open-Source and Commercial-Free Domain-Specific LLM Solution](https://www.hpc-ai.tech/blog/one-half-day-of-training-using-a-few-hundred-dollars-yields-similar-results-to-mainstream-large-models-open-source-and-commercial-free-domain-specific-llm-solution)
...@@ -70,8 +71,9 @@ ...@@ -70,8 +71,9 @@
</ul> </ul>
</li> </li>
<li> <li>
<a href="#Inference-Energon-AI-Demo">Inference (Energon-AI) Demo</a> <a href="#Inference">Inference</a>
<ul> <ul>
<li><a href="#SwiftInfer">SwiftInfer:Breaks the Length Limit of LLM for Multi-Round Conversations with 46% Acceleration</a></li>
<li><a href="#GPT-3-Inference">GPT-3</a></li> <li><a href="#GPT-3-Inference">GPT-3</a></li>
<li><a href="#OPT-Serving">OPT-175B Online Serving for Text Generation</a></li> <li><a href="#OPT-Serving">OPT-175B Online Serving for Text Generation</a></li>
<li><a href="#BLOOM-Inference">176B BLOOM</a></li> <li><a href="#BLOOM-Inference">176B BLOOM</a></li>
...@@ -121,9 +123,6 @@ distributed training and inference in a few lines. ...@@ -121,9 +123,6 @@ distributed training and inference in a few lines.
- Friendly Usage - Friendly Usage
- Parallelism based on the configuration file - Parallelism based on the configuration file
- Inference
- [Energon-AI](https://github.com/hpcaitech/EnergonAI)
<p align="right">(<a href="#top">back to top</a>)</p> <p align="right">(<a href="#top">back to top</a>)</p>
## Colossal-AI in the Real World ## Colossal-AI in the Real World
...@@ -220,7 +219,7 @@ Acceleration of AIGC (AI-Generated Content) models such as [Stable Diffusion v1] ...@@ -220,7 +219,7 @@ Acceleration of AIGC (AI-Generated Content) models such as [Stable Diffusion v1]
- [DreamBooth Fine-tuning](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/dreambooth): Personalize your model using just 3-5 images of the desired subject. - [DreamBooth Fine-tuning](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/dreambooth): Personalize your model using just 3-5 images of the desired subject.
<p id="inference" align="center"> <p id="inference-sd" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/Stable%20Diffusion%20Inference.jpg" width=800/> <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/Stable%20Diffusion%20Inference.jpg" width=800/>
</p> </p>
...@@ -350,7 +349,12 @@ Please visit our [documentation](https://www.colossalai.org/) and [examples](htt ...@@ -350,7 +349,12 @@ Please visit our [documentation](https://www.colossalai.org/) and [examples](htt
<p align="right">(<a href="#top">back to top</a>)</p> <p align="right">(<a href="#top">back to top</a>)</p>
## Inference (Energon-AI) Demo ## Inference
<p id="SwiftInfer" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/SwiftInfer.jpg" width=800/>
</p>
- [SwiftInfer](https://github.com/hpcaitech/SwiftInfer): Inference performance improved by 46%, open source solution breaks the length limit of LLM for multi-round conversations
<p id="GPT-3-Inference" align="center"> <p id="GPT-3-Inference" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/inference_GPT-3.jpg" width=800/> <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/inference_GPT-3.jpg" width=800/>
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applications/README.md
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...@@ -9,6 +9,7 @@ The list of applications include: ...@@ -9,6 +9,7 @@ The list of applications include:
- [X] [ColossalChat](./Chat/README.md): Replication of ChatGPT with RLHF. - [X] [ColossalChat](./Chat/README.md): Replication of ChatGPT with RLHF.
- [X] [FastFold](https://github.com/hpcaitech/FastFold): Optimizing AlphaFold (Biomedicine) Training and Inference on GPU Clusters. - [X] [FastFold](https://github.com/hpcaitech/FastFold): Optimizing AlphaFold (Biomedicine) Training and Inference on GPU Clusters.
- [X] [ColossalQA](./ColossalQA/README.md): Document Retrieval Conversation System - [X] [ColossalQA](./ColossalQA/README.md): Document Retrieval Conversation System
- [X] [SwiftInfer](https://github.com/hpcaitech/SwiftInfer): Breaks the Length Limit of LLM Inference for Multi-Round Conversations
> Please note that the `Chatbot` application is migrated from the original `ChatGPT` folder. > Please note that the `Chatbot` application is migrated from the original `ChatGPT` folder.
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docs/README-zh-Hans.md
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...@@ -24,6 +24,7 @@ ...@@ -24,6 +24,7 @@
</div> </div>
## 新闻 ## 新闻
* [2024/01] [Inference Performance Improved by 46%, Open Source Solution Breaks the Length Limit of LLM for Multi-Round Conversations](https://hpc-ai.com/blog/Colossal-AI-SwiftInfer)
* [2024/01] [Construct Refined 13B Private Model With Just $5000 USD, Upgraded Colossal-AI Llama-2 Open Source](https://hpc-ai.com/blog/colossal-llama-2-13b) * [2024/01] [Construct Refined 13B Private Model With Just $5000 USD, Upgraded Colossal-AI Llama-2 Open Source](https://hpc-ai.com/blog/colossal-llama-2-13b)
* [2023/11] [Enhanced MoE Parallelism, Open-source MoE Model Training Can Be 9 Times More Efficient](https://www.hpc-ai.tech/blog/enhanced-moe-parallelism-open-source-moe-model-training-can-be-9-times-more-efficient) * [2023/11] [Enhanced MoE Parallelism, Open-source MoE Model Training Can Be 9 Times More Efficient](https://www.hpc-ai.tech/blog/enhanced-moe-parallelism-open-source-moe-model-training-can-be-9-times-more-efficient)
* [2023/09] [One Half-Day of Training Using a Few Hundred Dollars Yields Similar Results to Mainstream Large Models, Open-Source and Commercial-Free Domain-Specific LLM Solution](https://www.hpc-ai.tech/blog/one-half-day-of-training-using-a-few-hundred-dollars-yields-similar-results-to-mainstream-large-models-open-source-and-commercial-free-domain-specific-llm-solution) * [2023/09] [One Half-Day of Training Using a Few Hundred Dollars Yields Similar Results to Mainstream Large Models, Open-Source and Commercial-Free Domain-Specific LLM Solution](https://www.hpc-ai.tech/blog/one-half-day-of-training-using-a-few-hundred-dollars-yields-similar-results-to-mainstream-large-models-open-source-and-commercial-free-domain-specific-llm-solution)
...@@ -69,8 +70,9 @@ ...@@ -69,8 +70,9 @@
</ul> </ul>
</li> </li>
<li> <li>
<a href="#推理-Energon-AI-样例展示">推理 (Energon-AI) 样例展示</a> <a href="#推理">推理</a>
<ul> <ul>
<li><a href="#SwiftInfer">SwiftInfer:打破LLM多轮对话的长度限制，推理加速46%</a></li>
<li><a href="#GPT-3-Inference">GPT-3</a></li> <li><a href="#GPT-3-Inference">GPT-3</a></li>
<li><a href="#OPT-Serving">1750亿参数OPT在线推理服务</a></li> <li><a href="#OPT-Serving">1750亿参数OPT在线推理服务</a></li>
<li><a href="#BLOOM-Inference">1760亿参数 BLOOM</a></li> <li><a href="#BLOOM-Inference">1760亿参数 BLOOM</a></li>
...@@ -115,8 +117,6 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的 ...@@ -115,8 +117,6 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
- [PatrickStar](https://arxiv.org/abs/2108.05818) - [PatrickStar](https://arxiv.org/abs/2108.05818)
- 使用友好 - 使用友好
- 基于参数文件的并行化 - 基于参数文件的并行化
- 推理
- [Energon-AI](https://github.com/hpcaitech/EnergonAI)
<p align="right">(<a href="#top">返回顶端</a>)</p> <p align="right">(<a href="#top">返回顶端</a>)</p>
...@@ -212,7 +212,7 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的 ...@@ -212,7 +212,7 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
- [DreamBooth微调](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/dreambooth): 仅需3-5张目标主题图像个性化微调 - [DreamBooth微调](https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/dreambooth): 仅需3-5张目标主题图像个性化微调
<p id="inference" align="center"> <p id="inference-sd" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/Stable%20Diffusion%20Inference.jpg" width=800/> <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/Stable%20Diffusion%20Inference.jpg" width=800/>
</p> </p>
...@@ -344,7 +344,12 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的 ...@@ -344,7 +344,12 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
<p align="right">(<a href="#top">返回顶端</a>)</p> <p align="right">(<a href="#top">返回顶端</a>)</p>
## 推理 (Energon-AI) 样例展示 ## 推理
<p id="SwiftInfer" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/SwiftInfer.jpg" width=800/>
</p>
- [SwiftInfer](https://github.com/hpcaitech/SwiftInfer): Inference performance improved by 46%, open source solution breaks the length limit of LLM for multi-round conversations
<p id="GPT-3-Inference" align="center"> <p id="GPT-3-Inference" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/inference_GPT-3.jpg" width=800/> <img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/inference_GPT-3.jpg" width=800/>
......
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