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Merge pull request Lordog#4 from cooelf/main
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fix a few bugs
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cooelf authored Apr 11, 2024
2 parents 0257159 + ce986b3 commit f4a4af8
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6 changes: 3 additions & 3 deletions README.md
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| 教程内容 | 简介 | 地址 |
| ---------------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
| 微调与部署 | 预训练模型微调与部署指南:想提升预训练模型在指定任务上的性能?让我们选择合适的预训练模型,在特定任务上进行微调,并将微调后的模型部署成方便使用的Demo! | [[Slides](https://github.com/Lordog/dive-into-llms/tree/main/documents/chapter1/dive-tuning.pdf)] [[Tutorial](https://github.com/Lordog/dive-into-llms/tree/main/documents/chapter1/README.md)] |
| 提示学习与思维链 | 大模型的API调用与推理指南:“AI在线求鼓励?大模型对一些问题的回答令人大跌眼镜,但它可能只是想要一句「鼓励」 | [[Slides](https://github.com/Lordog/dive-into-llms/tree/main/documents/chapter2/dive-prompting.pdf)] [[Tutorial](https://github.com/Lordog/dive-into-llms/tree/main/documents/chapter2/README.md)] |
| 知识编辑 | 语言模型的编辑方法和工具:想操控语言模型在对指定知识的记忆?让我们选择合适的编辑方法,对特定知识进行编辑,并将对编辑后的模型进行验证! | [[Slides](https://github.com/Lordog/dive-into-llms/blob/main/documents/chapter3/dive_edit_0410.pdf)] [[Tutorial](https://github.com/Lordog/dive-into-llms/tree/main/documents/chapter3/README.md)] |
| 模型水印 | 语言模型的文本水印:在语言模型生成的内容中嵌入人类不可见的水印 | [[Slides](https://github.com/Lordog/dive-into-llms/blob/main/documents/chapter4/watermark.pdf)] [[Tutorial](https://github.com/Lordog/dive-into-llms/tree/main/documents/chapter4/README.md)] |
| 提示学习与思维链 | 大模型的API调用与推理指南:“AI在线求鼓励?大模型对一些问题的回答令人大跌眼镜,但它可能只是想要一句「鼓励」 | [[Slides](https://github.com/Lordog/dive-into-llms/tree/main/documents/chapter2/dive-prompting.pdf)] [[Tutorial](https://github.com/Lordog/dive-into-llms/tree/main/documents/chapter2/README.md)] |
| 知识编辑 | 语言模型的编辑方法和工具:想操控语言模型在对指定知识的记忆?让我们选择合适的编辑方法,对特定知识进行编辑,并将对编辑后的模型进行验证! | [[Slides](https://github.com/Lordog/dive-into-llms/blob/main/documents/chapter3/dive_edit_0410.pdf)] [[Tutorial](https://github.com/Lordog/dive-into-llms/tree/main/documents/chapter3/README.md)] |
| 模型水印 | 语言模型的文本水印:在语言模型生成的内容中嵌入人类不可见的水印 | [[Slides](https://github.com/Lordog/dive-into-llms/blob/main/documents/chapter4/watermark.pdf)] [[Tutorial](https://github.com/Lordog/dive-into-llms/tree/main/documents/chapter4/README.md)] |
| 多模态模型 | TBD | TBD |
| 后门攻击 | TBD | TBD |

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5 changes: 3 additions & 2 deletions documents/chapter1/README.md
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3. Demo效果
成功部署的案例供参考:https://huggingface.co/spaces/cooelf/text-classification,其中在“Files”栏目可以看到源码。'
成功部署的案例供参考:https://huggingface.co/spaces/cooelf/text-classification
其中在右上角“Files”栏目可以看到源码。

![Files](./assets/13.png)

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### 7. 延伸阅读
1. 一篇对大语言模型(LLMs)进行全面、深入分析的43页[综述](https://mp.weixin.qq.com/s?__biz=Mzk0MTYzMzMxMA==&mid=2247484539&idx=1&sn=6ee42baab4ad792e74ac6a89d7dd87d9&chksm=c2ce3e0af5b9b71c578cb6836e09cce5f60b4a1cfffadc1c4c98211fc0af621bfaaaa8fe0aff&mpshare=1&scene=24&srcid=0331FO6iqVqs5Vx3iHrtqouQ&sharer_shareinfo=45c3fb78d9cfb9627908da44dd7f5559&sharer_shareinfo_first=45c3fb78d9cfb9627908da44dd7f5559&key=a2847c972f830c4143e00e0430f657d8ab5acae4ad24ca628213273021453a3a9e17984627e2ab8506d1dcf6e1fabd9ec3123a5f71d2a65295ad6f6f56da2224d4a6e3228237c237447bbf48a6eff1f53e1971503f26c3fb5b9d99d27eca7266529a5f86d75bada7ec10bf314687bfcbf9fa3b09b8e36e73f6d6a154a5ce5ff0&ascene=14&uin=NzE3NzkyOTQx&devicetype=iMac20%2C1+OSX+OSX+14.2.1+build(23C71)&version=13080610&nettype=WIFI&lang=zh_CN&countrycode=CN&fontScale=100&exportkey=n_ChQIAhIQM7tgcovlhXp1y5J%2BRMnhfhL3AQIE97dBBAEAAAAAAFsTBwTm4FMAAAAOpnltbLcz9gKNyK89dVj0MxFZswDc%2Fk646vJPW2S3JFh8H2JhyZXiPbIl%2Bh23CsewrmIoZ4j0D2zMNylC3pLbhu9FIARUKYn%2F0r0OIdHnxesVFpw1qLo6uBJ3zmbsKBVXM05%2B0MiOBIfShfpiIfraK7THzak94U0RdS1flC%2BIDjTb5SmZs9Z4XTyTsN0QXR6NWjAXFeuxnMB4SENMJ8dUR8n08b3DGKtz9rfefn0JRlsX4mGcLvOFsFwg4nk35nl4C3Wgcs4OYociKm5UHabdhWT7%2FWbNNToZLD39eD%2FL4Xo%3D&acctmode=0&pass_ticket=8xG4QKOnJeEFUtXkScVmMqb3omdWJbPuc%2BhN5%2BA7%2FOXj7ex757M2ABNO4GVVnv2T3VtqrC9gZH%2FrU09rrUxJcA%3D%3D&wx_header=0)(Word2Vec作者出品)

论文题目:Large Language Models: A Survey

论文链接:https://arxiv.org/pdf/2402.06196.pdf
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