This example demonstrates how to deploy a simple batch workflow using Amazon Batch, along with CloudFormation, AWS Lambda, Docker,
and S3 bucket triggers. It showcases a deployable artifact proof-of-concept rather than prescribing an ideal approach to batch processing
💡 Transform Your Open-Source Contributions with LM Studio: Learn how running Large Language Models (LLMs) locally on your machine enhances
productivity, privacy, and creativity in open-source development. Discover three powerful models—Dolphin, Deepseek, and Gemma—that streamline tasks like documentation, code assistance, and community
support.