Notes on DeepSeek
DeepSeek-V4 introduces novel training techniques, including Anticipatory Routing to stabilize training by using older weights for routing decisions, and a Generative Reward Model (GRM) where the model itself acts as a judge for complex tasks. The model also supports three distinct reasoning modes (Non-think, Think High, Think Max) trained with varied configurations for different reasoning depths. These advancements highlight the need for flexible, programmable training infrastructure that can adapt to complex, co-designed model and runtime systems. AI
IMPACT Highlights advanced training methods and infrastructure needs for future large language models.
