Amazon launches new tools to make Generative AI more accessible

AWS Launches New Tools to Make Generative AI More accessible

Amazon Web Services (AWS) has announced several new tools and services to make it easier for developers to build generative AI applications. These tools and services include:

• Amazon Bedrock: A foundation for building generative AI applications by making foundation models from AI21 Labs, Anthropic, Stability AI and Amazon accessible via an API

• Amazon SageMaker JumpStart: A collection of pre-trained foundation models and example notebooks that can be used to build generative AI applications.

• Amazon CodeWhisperer: An AI coding companion that can help developers write code for generative AI applications.

• AWS Trainium: A high-performance machine learning training accelerator that can be used to train generative AI models more quickly and efficiently.

• AWS Inferentia: A high-performance machine learning inference accelerator that can be used to deploy generative AI models more cost-effectively.

These new tools and services from AWS make it easier for developers to get started with generative AI and build applications that can generate text, images, and other creative content.

Amazon Bedrock is a key new tool that makes it easy to access and use foundation models for generative AI. Foundation models are large, pre-trained models that can be used to generate text, images, and other creative content. Amazon Bedrock provides a simple API that developers can use to access these models, making it easy to get started with generative AI.

Amazon SageMaker JumpStart is another new tool that makes it easy to build generative AI applications. Amazon SageMaker JumpStart provides a collection of pre-trained foundation models and example notebooks that can be used to build a variety of generative AI applications. This makes it easy for developers to get started with generative AI without having to start from scratch.

Amazon CodeWhisperer is an AI coding companion that can help developers write code for generative AI applications. Amazon CodeWhisperer can suggest code snippets, complete code, and provide explanations of code. This can help developers save time and write more accurate code for generative AI applications.

AWS Trainium and AWS Inferentia are new machine learning accelerators that can be used to train and deploy generative AI models more quickly and efficiently. AWS Trainium is a high-performance machine learning training accelerator that can be used to train generative AI models on large datasets. AWS Inferentia is a high-performance machine learning inference accelerator that can be used to deploy generative AI models in production.

These new tools and services from AWS make it easier for developers to get started with generative AI and build applications that can generate text, images, and other creative content. This is a significant development in the field of generative AI, and it is likely to lead to new and innovative applications of this technology in the future.

In addition to the tools and services mentioned above, AWS also offers a variety of other resources that can help developers build generative AI applications. These resources include:

• The AWS Generative AI Blog: This blog provides news and updates about generative AI on AWS.

• The AWS Generative AI Developer Guide: This guide provides detailed instructions on how to build generative AI applications on AWS.

• The AWS Generative AI GitHub Repository: This repository contains code examples and other resources for building generative AI applications on AWS.

  
  
  
  

These resources can help developers get started with generative AI and build applications that can generate text, images, and other creative content.