AWS Machine Learning Blog

JANUARY 29, 2025

You can import these models from Amazon Simple Storage Service (Amazon S3) or an Amazon SageMaker AI model repo, and deploy them in a fully managed and serverless environment through Amazon Bedrock. An S3 bucket prepared to store the custom model. Choose Import model. For more information, see Creating a bucket.

Auto-complete 125

Auto-complete Generative AI Data Scientist ML 125

AWS Machine Learning Blog

JANUARY 29, 2025

You can import these models from Amazon Simple Storage Service (Amazon S3) or an Amazon SageMaker AI model repo, and deploy them in a fully managed and serverless environment through Amazon Bedrock. An S3 bucket prepared to store the custom model. Choose Import model. For more information, see Creating a bucket.

Auto-complete 105

Auto-complete Generative AI Data Scientist ML 105

AWS Machine Learning Blog

MAY 1, 2024

Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. This results in faster restarts and workload completion. Prerequisites You need to complete some prerequisites before you can run the first notebook.

ML 111

ML Auto-complete Deep Learning Generative AI 111

AWS Machine Learning Blog

JUNE 11, 2024

Launch the instance using Neuron DLAMI Complete the following steps: On the Amazon EC2 console, choose your desired AWS Region and choose Launch Instance. You can update your Auto Scaling groups to use new AMI IDs without needing to create new launch templates or new versions of launch templates each time an AMI ID changes.

Deep Learning 117

Deep Learning ML Automation Auto-complete 117