8000 增加每个小章节前的描述 by KMnO4-zx · Pull Request #24 · InternLM/Tutorial · GitHub
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增加每个小章节前的描述 #24

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Merged
merged 13 commits into from
Dec 26, 2023
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增加每个小章节前的描述 #24

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62255d3
update hello-world
KMnO4-zx Dec 13, 2023
d82ae3c
fix hello_world
KMnO4-zx Dec 13, 2023
fb607f6
Fix capitalization of Hugging Face and Modelscope in documentation
KMnO4-zx Dec 13, 2023
6655d9b
Fix typo in ModelScope heading
KMnO4-zx Dec 13, 2023
c096b9f
Fix typos and update links in hello_world.md
KMnO4-zx Dec 13, 2023
af12d46
Update Lagent framework and fix typos
KMnO4-zx Dec 13, 2023
45b6656
update head img
KMnO4-zx Dec 14, 2023
da56a3a
Merge branch 'InternLM:main' into main
KMnO4-zx Dec 26, 2023
c9254ae
Update hello_world.md with new title and image
KMnO4-zx Dec 26, 2023
714451a
Update demo titles and descriptions
KMnO4-zx Dec 26, 2023
9e23559
Merge branch 'InternLM:main' into main
KMnO4-zx Dec 26, 2023
07d3a04
Add demos for intelligent conversation and tool invocation using Inte…
KMnO4-zx Dec 26, 2023
6216d6d
Merge branch 'main' of https://github.com/KMnO4-zx/tutorial
KMnO4-zx Dec 26, 2023
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6 changes: 6 additions & 0 deletions helloworld/hello_world.md
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Expand Up @@ -26,6 +26,8 @@

## 2. InternLM-Chat-7B 智能对话 Demo

本小节我们将使用[InternStudio](https://studio.intern-ai.org.cn/)中的 A100(1/4) 机器和`InternLM-Chat-7B`模型部署一个智能对话 Demo。

### 2.1 环境准备

在[InternStudio](https://studio.intern-ai.org.cn/)平台中选择 A100(1/4) 的配置，如下图所示镜像选择`Cuda11.7-conda`，如下图所示：
Expand Down Expand Up @@ -168,6 +170,8 @@ streamlit run web_demo.py --server.address 127.0.0.1 --server.port 6006

## 3. Lagent 智能体工具调用 Demo

本小节我们将使用[InternStudio](https://studio.intern-ai.org.cn/)中的 A100(1/4) 机器、`InternLM-Chat-7B`模型和`Lagent`框架部署一个智能工具调用 Demo。

Lagent 是一个轻量级、开源的基于大语言模型的智能体（agent）框架，支持用户快速地将一个大语言模型转变为多种类型的智能体，并提供了一些典型工具为大语言模型赋能。通过 Lagent 框架可以更好的发挥 InternLM 的全部性能。

下面我们就开始动手实现！
Expand Down Expand Up @@ -455,6 +459,8 @@ streamlit run /root/code/lagent/examples/react_web_demo.py --server.address 127.

## 4. 浦语·灵笔图文理解创作 Demo

本小节我们将使用[InternStudio](https://studio.intern-ai.org.cn/)中的 A100(1/4) * 2 机器和`internlm-xcomposer-7b`模型部署一个图文理解创作 Demo 。

### 4.1 环境准备

首先在 [InternStudio](https://studio.intern-ai.org.cn/) 上选择A100(1/4)*2的配置。如下图所示：
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