@aolingge

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What is attention actually paying attention to?

A 10-minute Manim walkthrough of Query, Key, Value, softmax, multi-head attention, and why long context gets expensive.

Watch: https://youtu.be/nFyr1tx2C-E
Mirror: https://attention-mechanism-20260430.vercel.app/attention_mechanism_en_public_720p_small.mp4

#AI #MachineLearning #Manim #Math

- YouTube

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Why are GPUs so useful for AI? This visual explainer shows the real reason: matrix multiplication, parallel work, memory bandwidth, and batching. #AI #GPU #MachineLearning #Manim #Education
Why Can Embedding Vectors Represent Meaning? A visual explainer on how words become vectors, why nearby points can mean nearby ideas, and how RAG uses vector search. #AI #MachineLearning #Manim #Education

矩阵不是一张表,它更像一台空间机器。

给它一个点,它把点搬到新位置;给它一张网格,空间会被拉伸、倾斜、旋转。

用 Manim 看懂线性代数里最关键的直觉:矩阵表示空间变换。
https://postiz.aolingge.dev/uploads/2026/04/29/fb92b4fbd8399b3351724c3eba4891084.mp4

#数学 #线性代数 #矩阵 #Manim #科普

Don't repost the clip. Rebuild the idea.

A clean AI workflow for turning trend research into an original short-form asset: format scan -> fresh script -> vertical render -> review queue.

#AIWorkflow #CreatorTools