AI News: Neural Networks: Zero to Hero — Explained in 60s
0:48
YouTubeCode Rush
AI News: Neural Networks: Zero to Hero — Explained in 60s
A course by Andrej Karpathy on building neural networks, from scratch, in code. We start with the basics of backpropagation and build up to modern deep neural networks, like GPT. Syllabus2h25m The spelled-out intro to neural networks and backpropagation: building micrograd This is the most step-by-step spelled-out explanation of backpropagation ...
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Andrej Karpathy Just 10x’d Everyone’s Claude Code | 100 GIGA | Powered By Fem Agents
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Farzapedia, personal wikipedia of Farza, good example following my Wiki LLM tweet.I really like this approach to personalization in a number of ways, compared to "status quo" of an AI that allegedly gets better the more you use it or something:1. Explicit. The memory artifact is explicit and navigable (the wiki), you can see exactly what the AI does and does not know and you can inspect and manage this artifact, even if you don't do the direct text writing (the LLM does). The knowledge of you is
2:24
Farzapedia, personal wikipedia of Farza, good example following my Wiki LLM tweet.I really like this approach to personalization in a number of ways, compared to "status quo" of an AI that allegedly gets better the more you use it or something:1. Explicit. The memory artifact is explicit and navigable (the wiki), you can see exactly what the AI does and does not know and you can inspect and manage this artifact, even if you don't do the direct text writing (the LLM does). The knowledge of you is
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