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工具分享
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7 changes: 6 additions & 1 deletion AwesomeProjects/Reference.md
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https://paywallbuster.com/
https://freedium.cfd/
https://greasyfork.org/en/scripts/481493-medium-unlocker-2023-12-06-updated
https://greasyfork.org/en/scripts/481493-medium-unlocker-2023-12-06-updated

# 20. AI育儿分享

https://readtogether.ai/
https://readtogether.ai/?url=https://bit.ly/kidsbooklib
3 changes: 2 additions & 1 deletion README.md
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| [**51. 模型推理:LLM推理时Prefill阶段多数据并行,属于计算瓶颈,有什么对应的加速方法?**](LLMs/Reference.md) |
| [**52. 模型推理:LLM推理时Decode阶段一次迭代一个token,内存耗时更多,有什么对应的加速方法?**](LLMs/Reference.md) |
| [**53. 模型优化:LLM从架构上来说,主要是针对Attention和FFN进行优化,其中Attention优化有哪些?**](LLMs/Reference.md) |
| [**54. 模型推理:大模型训练及微调的显存占用情况?**](LLMs/Reference.md) |
| [**54. 模型推理:大模型训练及微调的显存占用情况,如何估算推理阶段所需显存**](LLMs/Reference.md) |
| [**55. 模型训练:大模型训练阶段的耗时在哪里?比如涉及到千卡的训练。**](LLMs/Reference.md) |
| [**56. 模型优化:在SFT过程中Prompt优化是重要的一步,比如在商品分类的任务中,原提示词可能只包含了类别信息?**](LLMs/Reference.md) |

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| [**17. 科技爱好者周刊,集结优秀的开源项目,每周五发布**](AwesomeProjects/Reference.md) |
| [**18. 大模型显存在线估算开源项目**](AwesomeProjects/Reference.md) |
| [**19. 2024年几种可免费阅读Medium文章的方式**](AwesomeProjects/Reference.md) |
| [**20. 2025年,来自李沐大神的AI育儿小工具分享**](AwesomeProjects/Reference.md) |

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