Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelines

You can now create an end-to-end workflow to train, fine tune, evaluate, register, and deploy generative AI models with the visual designer for Amazon SageMaker Pipelines. SageMaker Pipelines is a serverless workflow orchestration service purpose-built for foundation model operations (FMOps). It accelerates your generative AI journey from prototype to production because you don’t need to learn about specialized workflow frameworks to automate model development or notebook execution at scale. Data scientists and machine learning (ML) engineers use pipelines for tasks such as continuous fine-tuning of large language models (LLMs) and scheduled notebook job workflows. Pipelines can scale up to run tens of thousands of workflows in parallel and scale down automatically depending on your workload.

Whether you are new to pipelines or are an experienced user looking to streamline your generative AI workflow, this step-by-step post will demonstrate how you can use the visual designer to enhance your productivity ...