llm_illustrated
看图学大模型
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llm_illustrated is an electronic book that visually explains various technical aspects of large language models using clear and easy-to-understand images. The book covers topics such as self-attention structure and code, absolute position encoding, KV cache visualization, transformers composition, and a relationship graph of participants in the Dartmouth Conference. The progress of the book is less than 10%, and readers can stay updated by following the WeChat official account and replying 'learn large models through images'. The PDF layout and Latex formatting are still being adjusted.
README:
本电子书目前进度完成不到 10%,可以关注下方公众号回复 "看图学大模型" 来获取最新版。
节选一些文章的图片,尽量用清晰易懂的方式来讲述大模型相关技术。
比如
目前 PDF 排版等还略有问题,Latex 还需要略微调整。
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llm_illustrated is an electronic book that visually explains various technical aspects of large language models using clear and easy-to-understand images. The book covers topics such as self-attention structure and code, absolute position encoding, KV cache visualization, transformers composition, and a relationship graph of participants in the Dartmouth Conference. The progress of the book is less than 10%, and readers can stay updated by following the WeChat official account and replying 'learn large models through images'. The PDF layout and Latex formatting are still being adjusted.
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