MLOps

開源 LLM Post-Training 全攻略：從 SFT 到 RLHF，手把手帶你訓練 Qwen

全面介紹開源 LLM 的 Post-Training 方法，包含 SFT、RLHF、DPO、ORPO、持續預訓練等技術，以 Qwen 為範例，深入分析各方法的優缺點、所需資源與適用場景，幫助你選擇最合適的訓練策略。

Mar 13, 2026 ·35 min

Fine-Tuning LLMs with AWS Bedrock: A Complete Guide to Post-Training Customization

Comprehensive guide to fine-tuning and customizing Large Language Models (LLMs) with AWS Bedrock - covering supervised fine-tuning, continued pre-training, and reinforcement fine-tuning with practical examples and AWS CDK infrastructure setup.

Dec 21, 2025 ·28 min