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Explore the innovative Group Relative Policy Optimization (GRPO) framework used to train DeepSeek-R1, a state-of-the-art language model. Learn how GRPO addresses challenges in reinforcement learning from human feedback (RLHF) and improves alignment with human preferences.
DeepSeek-R1 redefines the landscape of large language models with its groundbreaking MoE architecture, efficient training strategies, and state-of-the-art performance across benchmarks. Discover the innovations behind this powerful AI tool.
Discover how Microsoft’s bitnet.cpp makes it possible to run 100B parameter large language models (LLMs) on standard CPUs, revolutionizing the AI landscape by making high-performance LLMs accessible to everyone.
