Discover the groundbreaking DeepSeek R1, an LLM designed for efficiency, precision, and advanced problem-solving! With a unique Mixture of Experts (MoE) framework and selective parameter activation, it boasts 671 billion parameters while using only the most relevant 37 billion during inference. 🚀
Key Features:
🔹 Embedding Layer – Converts raw input into vector representations.
🔹 Transformer Layers – 61 layers with multi-head attention to capture relationships.
🔹 Gating Mechanism – Activates only the most relevant experts for each input.
DeepSeek R1 uses Supervised Fine-Tuning and Reinforcement Learning to continually improve its reasoning abilities. From Chain-of-Thought Reasoning to Dynamic Expert Utilization, it’s a model built for the future.
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