Agentic Model Customization on Amazon SageMaker AI | Amazon Web Services

Discover how Amazon SageMaker AI's agent-guided model customization transforms large language model fine-tuning into a conversational, code-first experience. In this video, we walk through how AI coding agents powered by purpose-built Agent Skills which guide you from use case definition prompts to deployment-ready custom model, all through natural language. Learn more: AWS Blog: https://go.aws/3PA0sYF AWS Documentation: https://go.aws/4uh8c0Y AWS Webpage: https://go.aws/491LeCd Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance. #AWS #AmazonWebServices #CloudComputing