Tags: #aws

A collection of Jupyter notebooks demonstrating how to build, train, and deploy machine learning models using Amazon SageMaker and its new Python SDK, SageMaker-Core.

A comprehensive practical guide and accompanying code repository for LLM engineers, covering the full lifecycle of building, deploying, and monitoring advanced LLM and RAG applications on AWS with LLMOps best practices.

A modular JavaScript SDK for interacting with AWS services, offering improved performance and first-class TypeScript support.