与「Adam」相关的搜索结果

Some mornings quietly rearrange ambition. 🚀 At an @EYnews x Australian Chamber of Commerce joint event a few weeks ago, my NewChic Capital Family Office partners and I weighed in on a conversation about space as private capital's next frontier. We backed SpaceX early, years ago. And the question that stays with me: how do we keep pursuing moonshots while staying practical? Panelists Mahesh Harilela, Space HK co-founder, whose family created The Hari, and Dr Adam Janikowski brought real estate, manufacturing and data centre conversations alongside legacy and vision. With my NewChic Partners, I found possibility. ✨ Which dream earns your conviction? Christy So · Laurence Thoo #SpaceEconomy# #FutureInfrastructure# #FamilyOffice# #HongKongInvesting# #PrivateMarkets#

「从零手写大模型」系列完结了 推理篇 15 篇，训练篇 5 篇，共 20 篇 从模型的基本结构 到如何生成文字，再到损失、梯度与参数更新 把学习过程整理成了一套完整笔记 每一篇都有可练习的代码示例 📖 推理篇 · 15 篇 01｜LLM From Scratch：整体大纲路线 02｜Tokenizer：分词器 03｜Embedding：嵌入层 04｜Positional Encoding：位置编码 05｜Self-Attention：自注意力机制 06｜Multi-Head Attention：多头注意力机制 07｜Residual Connection：残差连接 08｜LayerNorm：层归一化 09｜FFN：前馈神经网络 10｜Activation Function：激活函数 11｜Transformer Block：Transformer 模块 12｜Transformer Stack：Transformer 堆叠 13｜Loading Pretrained Weights：加载预训练权重 14｜Text Generation：文本生成 15｜Interpretability：可解释性 🛠 训练篇 · 5 篇 01｜Loss Function：损失函数 02｜Backpropagation：反向传播 03｜Gradient Descent：梯度下降 04｜Adam Optimizer：Adam 优化器 05｜Learning Rate Scheduling：学习率调度 推理篇，理解模型如何一步步算出下一个 token 训练篇，理解模型如何从误差中学习、更新参数 欢迎一起学习、交流，也欢迎指出笔记里的问题