External Tag: Advanced (300)

Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions

Create a web UI to interact with LLMs using Amazon SageMaker JumpStart

Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

Amazon SageMaker simplifies setting up SageMaker domain for enterprises to onboard their users to SageMaker

Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 2: Interactive User Experiences in SageMaker Studio

Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements

Scale foundation model inference to hundreds of models with Amazon SageMaker – Part 1

Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting