Foundational vision models and visual prompt engineering for autonomous driving applications

Fine-tune and Deploy Mistral 7B with Amazon SageMaker JumpStart

Model management for LoRA fine-tuned models using Llama2 and Amazon SageMaker

Use machine learning without writing a single line of code with Amazon SageMaker Canvas

Explore advanced techniques for hyperparameter optimization with Amazon SageMaker Automatic Model Tuning

Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

Build a medical imaging AI inference pipeline with MONAI Deploy on AWS

Deploy ML models built in Amazon SageMaker Canvas to Amazon SageMaker real-time endpoints

Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

Deploy and fine-tune foundation models in Amazon SageMaker JumpStart with two lines of code