671 Billion Parameters, One Model: DeepSeek-V3 Deep Dive
Welcome to an in-depth exploration of DeepSeek-V3, the groundbreaking Mixture-of-Experts (MoE) language model featuring an impressive 671 billion parameters, with 37 billion activated per token! Combining innovative architectures like Multi-head Latent Attention (MLA) and an auxiliary-loss-free strategy for load balancing, DeepSeek-V3 redefines efficiency and performance. Whether you're interested in its robust pre-training on 14.8 trillion tokens or its state-of-the-art benchmarks in math, code, and multilingual tasks, this video unpacks it all for you.
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Timeline:
0:00 - Intro
13:36- Solving AIME Problems
