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TaylorPzreal/README.md
  • 👋 Hi, I’m @TaylorPzreal
  • 👀 I’m interested in coding.
  • 🌱 I’m currently learning AI.
timeline
    title AI技术重大变革时间轴
    
    section 理论奠基
    1950 : 图灵提出"模仿游戏"测试框架
    1956 : 达特茅斯会议确立AI研究领域
    1980 : 反向传播算法提出
    
    section 算法革命
    1997 : LSTM神经网络架构诞生
    2012 : AlexNet实现图像识别突破
    2014 : GAN生成对抗网络问世
    2015 : ResNet解决梯度消失问题
    2017 : Transformer架构颠覆NLP领域
    
    section 能力跃迁
    2018 : BERT模型开启预训练新时代
    2020 : GPT-3展示涌现能力
    2021 : AlphaFold2破解蛋白质折叠
    2022 : Diffusion模型革新图像生成
    2023 : GPT-4实现多模态推理
    
    section 架构创新
    2016 : 神经架构搜索(NAS)自动化
    2019 : 联邦学习框架成熟
    2021 : 混合专家(MoE)模型扩展
    2022 : 基于注意力的视觉Transformer
    2023 : 世界模型架构探索

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180 contributions in the last year

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Loading A graph representing TaylorPzreal's contributions from July 14, 2024 to July 14, 2025. The contributions are 98% commits, 2% issues, 0% pull requests, 0% code review.   Code review 2% Issues   Pull requests 98% Commits

Contribution activity

July 2025

Created an issue in bytedance/trae-agent that received 2 comments

系统提示词中配置的“您的主要目标是解决 GitHub issue xxx” 这个有什么特别的设计吗,对于LLM而言,会表现更好吗

trae-agent/trae_agent/agent/trae_agent.py Line 142 in ef9056e 通常都是描述如何实现功能,这里的设计像是如何修复解决问题,这样的提示次效果会更好吗?

2 comments
2 contributions in private repositories Jul 5 – Jul 11
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