Alibaba Cloud Developer
Jul 31, 2025 · Artificial Intelligence
Why Post‑Training Matters: Scaling Laws, Fine‑Tuning, and RL Strategies for LLMs
This article explores the importance of post‑training for large language models, explains scaling laws for pre‑ and post‑training, details common fine‑tuning methods (full, PEFT, LoRA), outlines alignment techniques such as RLHF, DPO, PPO, and presents practical workflows using Llama 3 and DeepSeek‑R1, while also discussing test‑time reasoning optimizations.
AlignmentFine-tuningLLM
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