大模型基础: 一文了解大模型基础知识

资源文件列表(大概)

文件名

大小

so-large-lm-main/

so-large-lm-main/.gitignore

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so-large-lm-main/README.md

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so-large-lm-main/docs/

so-large-lm-main/docs/.nojekyll

so-large-lm-main/docs/README.md

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so-large-lm-main/docs/_sidebar.md

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so-large-lm-main/docs/content/

so-large-lm-main/docs/content/ch01.md

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so-large-lm-main/docs/content/ch02.md

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so-large-lm-main/docs/content/ch03.md

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so-large-lm-main/docs/content/ch04.md

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so-large-lm-main/docs/content/ch05.md

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so-large-lm-main/docs/content/ch06.md

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so-large-lm-main/docs/content/ch07.md

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so-large-lm-main/docs/content/ch08.md

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so-large-lm-main/docs/content/ch09.md

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so-large-lm-main/docs/content/ch10.md

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so-large-lm-main/docs/content/ch11.md

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so-large-lm-main/docs/content/ch12.md

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so-large-lm-main/docs/content/ch13.md

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so-large-lm-main/docs/content/ch14.md

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so-large-lm-main/docs/content/images/

so-large-lm-main/docs/content/images/act.png

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so-large-lm-main/docs/content/images/adaptation_1.png.png

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so-large-lm-main/docs/content/images/agent.png

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so-large-lm-main/docs/content/images/agent_town.png

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so-large-lm-main/docs/content/images/ai-lifecycle.png

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so-large-lm-main/docs/content/images/bart-transformations.png

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so-large-lm-main/docs/content/images/base-results.png

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so-large-lm-main/docs/content/images/bert.png

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so-large-lm-main/docs/content/images/climate-change-effects.jpg

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so-large-lm-main/docs/content/images/code-llama.png

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so-large-lm-main/docs/content/images/data-1.png.png

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so-large-lm-main/docs/content/images/disinformation.png

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so-large-lm-main/docs/content/images/dmoe.png

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so-large-lm-main/docs/content/images/download.png

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so-large-lm-main/docs/content/images/electricity-emissions.png

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so-large-lm-main/docs/content/images/emissions-country.png

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so-large-lm-main/docs/content/images/emissions-graph.png

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so-large-lm-main/docs/content/images/facebook-moe-results.png

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so-large-lm-main/docs/content/images/facebook-moe-stereoset.png

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so-large-lm-main/docs/content/images/few-shot-learner.png

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so-large-lm-main/docs/content/images/glam-architecture.png

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so-large-lm-main/docs/content/images/glam-results2.png

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so-large-lm-main/docs/content/images/glam-trivia-qa.png

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so-large-lm-main/docs/content/images/global_emissions_sector_2015.png

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so-large-lm-main/docs/content/images/google-emissions-table.png

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so-large-lm-main/docs/content/images/gopher-result.png

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so-large-lm-main/docs/content/images/gopher.png.canvas

so-large-lm-main/docs/content/images/gpt-3-dataset.png.png

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so-large-lm-main/docs/content/images/gpt3_arithmetic.png.png

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so-large-lm-main/docs/content/images/gpt3_triviaQA.png.png

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so-large-lm-main/docs/content/images/jacobs-moe.png

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so-large-lm-main/docs/content/images/lightweight.png.png

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so-large-lm-main/docs/content/images/llama-1-arch.png

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so-large-lm-main/docs/content/images/llama-1-data.png

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so-large-lm-main/docs/content/images/llama-1.jpg

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so-large-lm-main/docs/content/images/llama-2-arch.png

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so-large-lm-main/docs/content/images/llama-2-train.png

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so-large-lm-main/docs/content/images/llama-2.png

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so-large-lm-main/docs/content/images/llama-2vs1.png

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so-large-lm-main/docs/content/images/llama-3-400-1.png

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so-large-lm-main/docs/content/images/llama-3-400-2.png

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so-large-lm-main/docs/content/images/llama-3-arch.png

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so-large-lm-main/docs/content/images/llama-3-instruct.png

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so-large-lm-main/docs/content/images/llama-3-pretrain.png

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so-large-lm-main/docs/content/images/llama-3.png

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so-large-lm-main/docs/content/images/llama-3vs2.png

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so-large-lm-main/docs/content/images/llm+p.png

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so-large-lm-main/docs/content/images/mixed-precision-training.png

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so-large-lm-main/docs/content/images/moe-figure.png

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so-large-lm-main/docs/content/images/parallelism-1.png

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so-large-lm-main/docs/content/images/parallelism-2.png

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so-large-lm-main/docs/content/images/parallelism-3.png

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so-large-lm-main/docs/content/images/parallelism-4.png

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so-large-lm-main/docs/content/images/parallelism-5.png

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so-large-lm-main/docs/content/images/pile-dataset.png.png

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so-large-lm-main/docs/content/images/prefix_ood.png.png

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so-large-lm-main/docs/content/images/probing.png.png

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so-large-lm-main/docs/content/images/prompt_result.png.png

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so-large-lm-main/docs/content/images/promt_ood.png.png

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so-large-lm-main/docs/content/images/rag-architecture.png

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so-large-lm-main/docs/content/images/rag-example.png

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so-large-lm-main/docs/content/images/rag-results.png

122.61KB

so-large-lm-main/docs/content/images/reflection.png

170.49KB

so-large-lm-main/docs/content/images/retro-lm-results.png

45.5KB

so-large-lm-main/docs/content/images/t5-supervised.png

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so-large-lm-main/docs/content/images/t5-unsupervised-table.png

91.14KB

so-large-lm-main/docs/content/images/temperature-graph.jpg

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so-large-lm-main/docs/content/images/tool.png

441.49KB

so-large-lm-main/docs/content/images/tool_study.jpg

92.32KB

so-large-lm-main/docs/content/images/tot.png

254.45KB

so-large-lm-main/docs/content/images/volunteer-dall-e.png

38.47KB

so-large-lm-main/docs/content/工具篇.md

4.63KB

so-large-lm-main/docs/content/探索篇.md

6.87KB

so-large-lm-main/docs/index.html

2.47KB

so-large-lm-main/专业词汇表

64B

资源内容介绍

人工智能、自然语言处理和机器学习领域的研究者和从业者：该项目旨在为研究者和从业者提供大规模预训练语言模型的知识和技术，帮助他们更深入地了解当前领域的最新动态和研究进展。学术界和产业界对大型语言模型感兴趣的人士：项目内容涵盖了大型语言模型的各个方面，从数据准备、模型构建到训练和评估，以及安全、隐私和环境影响等方面。这有助于拓宽受众在这一领域的知识面，并加深对大型语言模型的理解。想要参与大规模语言模型开源项目的人士：本项目提供代码贡献和理论知识，降低受众在大规模预训练学习的门槛。其余大型语言模型相关行业人员：项目内容还涉及大型语言模型的法律和道德考虑，如版权法、合理使用、公平性等方面的分享，这有助于相关行业从业者更好地了解大型语言模型的相关问题。

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