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add technical solution 109 #212

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25 changes: 13 additions & 12 deletions README-CN.md
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Expand Up @@ -440,18 +440,19 @@ ROS 模板的示例和最佳实践。模板分类如下：

- ai

| 模板 | 说明 |
|----------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------|
| [use-function-compute-to-deploy-stable-diffusion-for-AI-painting.yml](documents/solution/ai/use-function-compute-to-deploy-stable-diffusion-for-ai-painting.yml) | 使用函数计算部署Stable Diffusion进行AI绘画。支持自定义模型。 |
| [aigc-text-generation-3d-model-with-ecs.yml](documents/solution/ai/aigc-text-generation-3d-model-with-ecs.yml) | AIGC文本生成3D模型。 ｜ [解决方案](https://aliyun.com/solution/tech-solution/tg3dm) |
| [use-pai-to-deploy-stable-diffusion-for-AI-painting.yml](documents/solution/ai/use-pai-to-deploy-stable-diffusion-for-AI-painting.yml) | 如何在阿里云快速启动Stable Diffusion轻松玩转AI绘画。 |
| [lingjun-LLAMA-2-best-practice.yml](documents/solution/ai/lingjun-LLAMA-2-best-practice.yml) | LLAMA-2全托管灵骏最佳实践。 ｜ [解决方案](https://aliyun.com/solution/tech-solution/pai_lingjun) |
| [pai-ai-painting-solution.yml](documents/solution/ai/pai-ai-painting-solution.yml) | PAI AI绘画解决方案。 ｜ [解决方案](https://www.aliyun.com/solution/tech-solution/pai_eas) |
| [pai-lingjun-serverless-LLM-best-practice.yml](documents/solution/ai/upai-lingjun-serverless-LLM-best-practice.yml) | PAI灵骏智算资源（Serverless版）大模型最佳实践。 |
| [use-gpu-ecs-to-deploy-chatGLM.yaml](documents/solution/ai/use-gpu-ecs-to-deploy-chatGLM.yaml) | 向量数据库构建企业智能知识库。 ｜ [解决方案](https://aliyun.com/solution/tech-solution/baeeikb) |
| [build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml) | 基于ChatGLM和LangChain搭建对话模型。｜ [解决方案](https://www.aliyun.com/solution/tech-solution/calbadm) |
| [build-a-dialogue-model-based-on-Qwen-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-Qwen-and-LangChain.yml) | 基于通义千问和LangChain搭建对话模型。 |
| [ack-ai-fine-tuning.yml](documents/solution/ai/ack-ai-fine-tuning.yml) | 使用云原生AI套件提交模型微调训练任务与部署GPU共享推理服务。 ｜ [解决方案](https://www.aliyun.com/solution/tech-solution/one_gpu) |
| 模板 | 说明 |
|----------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|
| [use-function-compute-to-deploy-stable-diffusion-for-AI-painting.yml](documents/solution/ai/use-function-compute-to-deploy-stable-diffusion-for-ai-painting.yml) | 使用函数计算部署Stable Diffusion进行AI绘画。支持自定义模型。 |
| [aigc-text-generation-3d-model-with-ecs.yml](documents/solution/ai/aigc-text-generation-3d-model-with-ecs.yml) | AIGC文本生成3D模型。 ｜ [解决方案](https://aliyun.com/solution/tech-solution/tg3dm) |
| [use-pai-to-deploy-stable-diffusion-for-AI-painting.yml](documents/solution/ai/use-pai-to-deploy-stable-diffusion-for-AI-painting.yml) | 如何在阿里云快速启动Stable Diffusion轻松玩转AI绘画。 |
| [lingjun-LLAMA-2-best-practice.yml](documents/solution/ai/lingjun-LLAMA-2-best-practice.yml) | LLAMA-2全托管灵骏最佳实践。 ｜ [解决方案](https://aliyun.com/solution/tech-solution/pai_lingjun) |
| [pai-ai-painting-solution.yml](documents/solution/ai/pai-ai-painting-solution.yml) | PAI AI绘画解决方案。 ｜ [解决方案](https://www.aliyun.com/solution/tech-solution/pai_eas) |
| [pai-lingjun-serverless-LLM-best-practice.yml](documents/solution/ai/upai-lingjun-serverless-LLM-best-practice.yml) | PAI灵骏智算资源（Serverless版）大模型最佳实践。 |
| [use-gpu-ecs-to-deploy-chatGLM.yaml](documents/solution/ai/use-gpu-ecs-to-deploy-chatGLM.yaml) | 向量数据库构建企业智能知识库。 ｜ [解决方案](https://aliyun.com/solution/tech-solution/baeeikb) |
| [build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml) | 基于ChatGLM和LangChain搭建对话模型。｜ [解决方案](https://www.aliyun.com/solution/tech-solution/calbadm) |
| [build-a-dialogue-model-based-on-Qwen-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-Qwen-and-LangChain.yml) | 基于通义千问和LangChain搭建对话模型。 |
| [ack-ai-fine-tuning.yml](documents/solution/ai/ack-ai-fine-tuning.yml) | 使用云原生AI套件提交模型微调训练任务与部署GPU共享推理服务。 ｜ [解决方案](https://www.aliyun.com/solution/tech-solution/one_gpu) |
| [exclusive-qa-service.yml](exclusive-qa-service.yml) | 向量检索与通义千问搭建专属问答服务。 |

- data-analysis

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9 changes: 5 additions & 4 deletions README.md
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Expand Up @@ -446,14 +446,15 @@ Examples and best practices of ROS templates. The templates are categorized as f
|--------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------|
| [use-function-compute-to-deploy-stable-diffusion-for-AI-painting.yml](documents/solution/ai/use-function-compute-to-deploy-stable-diffusion-for-ai-painting.yml) | Use Function Compute to deploy Stable Diffusion for AI Painting. Custom models is supported. |
| [lingjun-LLAMA-2-best-practice.yml](documents/solution/ai/lingjun-LLAMA-2-best-practice.yml) | LingJun LLAMA-2 Best Practice. |
| [pai-ai-painting-solution.yml](documents/solution/ai/pai-ai-painting-solution.yml) | PAI AI painting solution |
| [pai-ai-painting-solution.yml](documents/solution/ai/pai-ai-painting-solution.yml) | PAI AI painting solution |
| [pai-lingjun-serverless-LLM-best-practice.yml](documents/solution/ai/pai-lingjun-serverless-LLM-best-practice.yml) | PAI LingJun Serverless LLM Best Practice. |
| [aigc-text-generation-3d-model-with-ecs.yml](documents/solution/ai/aigc-text-generation-3d-model-with-ecs.yml) | AIGC Text Generation 3D Model. |
| [use-pai-to-deploy-stable-diffusion-for-AI-painting.yml](documents/solution/ai/use-pai-to-deploy-stable-diffusion-for-AI-painting.yml) | How to quickly start Stable Diffusion on Alibaba Cloud and easily play with AI painting. |
| [use-gpu-ecs-to-deploy-chatGLM.yaml](documents/solution/ai/use-gpu-ecs-to-deploy-chatGLM.yaml) | Large model combines the AnalyticDB to build Chatbot. |
| [build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml) | Build a dialogue model based on ChatGLM and LangChain. |
| [build-a-dialogue-model-based-on-Qwen-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-Qwen-and-LangChain.yml) | Build a dialogue model based on Qwen and LangChain. |
| [ack-ai-fine-tuning.yml](documents/solution/ai/ack-ai-fine-tuning.yml) | Use the cloud-native AI suite to submit model fine-tuning training tasks and deploy GPU shared inference services. |
| [build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-ChatGLM-and-LangChain.yml) | Build a dialogue model based on ChatGLM and LangChain. |
| [build-a-dialogue-model-based-on-Qwen-and-LangChain.yml](documents/solution/ai/build-a-dialogue-model-based-on-Qwen-and-LangChain.yml) | Build a dialogue model based on Qwen and LangChain. |
| [ack-ai-fine-tuning.yml](documents/solution/ai/ack-ai-fine-tuning.yml) | Use the cloud-native AI suite to submit model fine-tuning training tasks and deploy GPU shared inference services. |
| [exclusive-qa-service.yml](exclusive-qa-service.yml) | DashVector and Tongyi QianWen build exclusive Q&A service. |



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