Sorry, we just need to make sure you're not a robot. For best results, please make sure your browser is accepting cookies. Type the characters you see in this image: Try different image Continue shopping Conditions of UsePrivacy Policy...
Run a proof of concept for Amazon Aurora. Set up an Aurora cluster to test your application, measure performance, and try Aurora features such as high availability.
This package provides a unified command line interface to Amazon Web Services. Jump to: Getting Started Getting Help More Resources Getting Started This README is for the AWS CLI version 1. If you are looking for information about the AWS CLI version 2, please visit thev2 branch. ...
No The AWS Copilot command line interface (CLI) commands simplify building, releasing, and operating production-ready containerized applications on Amazon ECS from a local development environment. The AWS Copilot CLI aligns with developer workflows that support modern application best practices: from us...
Enjoy games and more gaming extras every month with Amazon Prime.
Getting started with AWS Learn the fundamentals and start building on AWS. Find best practices to help you launch your first application and get to know the AWS Management Console. Set up your AWS environment Getting Started Resource Center AWS Cloud Security Hands-on Tutorials Get started ...
A SageMaker role with Amazon S3 read/write and AWS KMS encrypt/decrypt permissions An S3 bucket for storing data, scripts, and model artifacts Optionally, theAWS Command Line Interface(AWS CLI) Python3 (Python 3.7 or greater) and the following Python packages: ...
When it comes to finding well-priced, high quality products on Amazon, you typically can't go wrong with any of the items that are part of the Amazon Basics product line. And right now, if you're in need of a portable, handheld vacuum to clean up small messes around your home in in...
A number of techniques are typically used to improve the accuracy and performance of an LLM’s output, such as fine-tuning with parameter efficient fine-tuning (PEFT), reinforcement learning from human feedback (RLHF), and performing knowledge distillation. However, when building generative AI app...