Code DeepSeek V3 From Scratch in Python - Full Course

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Published on April 1, 2025 4:19:24 PM ● Video Link: https://www.youtube.com/watch?v=5avSMc79V-w

Duration: 0:00

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This course is a comprehensive guide to understanding and implementing DeepSeek V3, a cutting-edge deep learning model. ‪@vukrosic‬ shares step-by-step coding instructions and theoretical insights.

🔗 paper - https://arxiv.org/pdf/2412.19437

💻 https://github.com/deepseek-ai/DeepSeek-V3/tree/main/inference - code by DeepSeek, just a few small changes made at the end of the video to Transformer class to for training, as this is for inference, so you need to make them manually or screenshot the video and ask AI to make the changes to this code

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⭐ ️ Contents ⭐ ️
⌨ ️ (0:00:00) Intro
⌨ ️ (0:01:40) Attention Mechanism
⌨ ️ (0:13:34) Query, Key, Value
⌨ ️ (0:34:11) KV Cache
⌨ ️ (0:39:06) Multihead Latent Attention (MLA)
⌨ ️ (0:58:53) Coding MLA
⌨ ️ (1:28:41) RoPE
⌨ ️ (1:55:44) Coding KV Cache
⌨ ️ (2:00:25) MLA forward
⌨ ️ (2:28:24) MoE, Gate
⌨ ️ (2:49:25) Gate code
⌨ ️ (3:09:10) MoE code
⌨ ️ (3:28:36) Transformer Blocks

🎉 Thanks to our Champion and Sponsor supporters:
👾 Drake Milly
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👾 Goddard Tan
👾 David MG
👾 Matthew Springman
👾 Claudio
👾 Oscar R.
👾 jedi-or-sith
👾 Nattira Maneerat
👾 Justin Hual

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