Machine Learning
3 posts in machine learning
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。
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.
Deploying Hugging Face Models to AWS: A Complete Guide with CDK, SageMaker, and Lambda
Learn how to deploy production-ready Hugging Face AI models to AWS using CDK (TypeScript), SageMaker, and Lambda. Comprehensive guide covering system design, infrastructure setup, model deployment, API creation, and best practices for scalable ML applications.