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Explore How does DeepSeek actually work? | Full technical review with 12,165 views, 634 likes, and 45 comments. Experience the impact of this video content that has captured audience attention.

In this video, we dive into the technical innovations behind DeepSeek-R1: scaling with compute (Reasoning-Oriented Reinforcement Learning, Chain-of-Thought, GRPO, Distillation). While knowledge about AI is helpful, general software engineers should still get great value out of it. More LLM tech deep dives: https://www.youtube.com/watch?v=I_2DsaJ4Ung&list=PL4bm2lr9UVG3sde_g0L1RioYgqAl08EPr Blogpost version of this video: https://juliaturc.substack.com/p/deepseek-r1-the-technical-innovations?utm_source=substack&utm_content=feed%3Arecommended%3Acopy_link 00:00 Intro 00:57 Scaling using compute instead of data 02:18 Overview of LLM training 03:20 Training DeepSeek 04:09 Reasoning-Oriented Reinforcement Learning 06:45 DeepSeek-R1-Zero 08:00 Back to training DeepSeek 10:29 Chain-of-Thought 12:19 GRPO 13:46 Distillation 14:45 Outro Correction: The cited $6M cost was incurred by DeepSeek-V3, not DeepSeek-R1. The cost for the latter is unknown (Source: https://www.reuters.com/technology/artificial-intelligence/big-tech-faces-heat-chinas-deepseek-sows-doubts-billion-dollar-spending-2025-01-27)

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