Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1938138Time Stamp: Jan 17, 2024
Host the Whisper Model on Amazon SageMaker: exploring inference options | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1937849Time Stamp: Jan 16, 2024
Inference Llama 2 models with real-time response streaming using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1935348Time Stamp: Jan 9, 2024
Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20% | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1928597Time Stamp: Dec 22, 2023
Llama Guard is now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1927917Time Stamp: Dec 20, 2023
Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1925385Time Stamp: Dec 14, 2023
Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1924682Time Stamp: Dec 13, 2023
Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1921923Time Stamp: Dec 6, 2023
Enable faster training with Amazon SageMaker data parallel library | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1921534Time Stamp: Dec 5, 2023
Foundational data protection for enterprise LLM acceleration with Protopia AI | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1921560Time Stamp: Dec 5, 2023
Welcome to a New Era of Building in the Cloud with Generative AI on AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1920152Time Stamp: Nov 30, 2023
Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 2: Interactive User Experiences in SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1920475Time Stamp: Nov 30, 2023
Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1920477Time Stamp: Nov 30, 2023
Scale foundation model inference to hundreds of models with Amazon SageMaker – Part 1 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1919452Time Stamp: Nov 30, 2023
Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1920800Time Stamp: Nov 30, 2023
Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1921172Time Stamp: Nov 29, 2023
Amazon EC2 DL2q instance for cost-efficient, high-performance AI inference is now generally available | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1916454Time Stamp: Nov 22, 2023
Your guide to generative AI and ML at AWS re:Invent 2023 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1916456Time Stamp: Nov 22, 2023
How Amazon Search M5 saved 30% for LLM training cost by using AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1917751Time Stamp: Nov 22, 2023