Comprehensive SOP for Amazon SageMaker AI — SDK v3 code generation, serverless model customization (SFT, DPO, RLVR, RLAIF), LLM inference endpoints, model training (classical ML + LLM fine-tuning), HyperPod clusters (training + inference), Model Monitor, and AutoML with AutoGluon. Generates correct, working code every time. Triggers: "sagemaker", "training job", "deploy model", "endpoint", "llm inference", "vllm", "model customization", "djl", "fine-tune", "qlora", "lora", "rlvr", "rlaif", "dpo", "sft", "reward function",
"hyperpod", "model monitor", "data quality", "bias",
"autogluon", "jumpstart", "deploy on hyperpod", "training script", "inference script".
2026-04-02