Technology
Supervised Fine-Tuning: A Guide to LLM Reasoning
Learn the complete Supervised Fine-Tuning (SFT) pipeline to enhance LLM reasoning. This guide covers the DeepSeek R1 process, from SFT to knowledge distillation.
Ning Si Ai
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Technology
GRPO Training Pipeline: SFT to RL for Better Reasoning
Learn to implement a full GRPO training pipeline. This guide covers Supervised Fine-Tuning (SFT) with cold-start data, CoT prompting, and the GRPOTrainer.
Ning Si Ai
Technology
DeepSeek-Coder-V2's Reward Model Explained
Explore the 5 core reward functions powering DeepSeek-Coder-V2. Learn how its modular reward model for accuracy, reasoning, and format shapes AI behavior.
Ning Si Ai
Technology
Replicate DeepSeek R1 with RL: A Guide
Learn to replicate the DeepSeek R1 training process. This guide covers building a reinforcement learning pipeline from scratch using GRPO for advanced LLM reasoning.
Ning Si Ai
Technology
Boost LLM Goodput: Prefill-Decode Separation
Learn how Prefill-Decode separation in LLM serving boosts goodput by 4.48x. Discover DistServe, a new architecture that optimizes latency and meets strict SLOs.
GiantPandaLLM
Technology
What is Knowledge Distillation in AI?
Learn how knowledge distillation and model temperature work to train smaller, more efficient AI models. A key technique for LLM model compression.
Jia Gou Shi Dai Ni Wan Zhuan Ai
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