AWS Sagemaker AI Crash Course-Customize and Deploy Any LLM

This video provides a complete end-to-end tutorial on fine-tuning, aligning, and deploying Large Language Models (LLMs) serverlessly using Amazon SageMaker AI. Here we demonstrates four levels of LLM customization—Prompt Engineering, Supervised Fine-Tuning (SFT) with LoRA, Direct Preference Optimization (DPO), and Reinforcement Learning (RLVR & RLAIF). Using real-world hands-on demonstrations, a base model is customized on legal contracts (Contract NLI dataset), evaluated against expert benchmarks, and served via an OpenAI-compatible API endpoint. Finally, the video covers model alignment usin