Exploring the Power of Generative AI: AWS Unveils New Tools for Building with Foundation Models
Highlights
- AWS has recently announced new tools for building with generative AI on its cloud platform.
- Foundation Models (FMs) are pre-trained AI models that can be fine-tuned for specific tasks or domains.
- AWS has launched Amazon CodeWhisperer, a new service for building conversational agents using FMs.
- AWS has announced Amazon Bedrock, a new platform for accessing and using FMs for various generative tasks.
- Amazon Bedrock provides a serverless experience that allows customers to choose from a wide range of FMs built by leading AI startups and Amazon.
- AWS has introduced Amazon SageMaker JumpStart for Generative AI, a new feature that helps customers get started with generative AI quickly and easily.
Generative AI is a type of AI that can create new content and ideas, such as conversations, stories, images, videos, and music. In this blog post, we will explore some of the new tools that AWS has recently announced for building with generative AI on its cloud platform.
One of the main challenges of generative AI is training and deploying large and complex models that are commonly referred to as Foundation Models (FMs).
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| Image source: Amazon |
These models are pre-trained on vast amounts of data and can be fine-tuned for specific tasks or domains. AWS has introduced several innovations to make it easier and more cost-effective for customers to work with FMs.
First, AWS has launched Amazon CodeWhisperer, a new service that allows customers to build conversational agents using FMs. CodeWhisperer provides a simple interface to select a pre-trained FM, such as ChatGPT, and customize it with domain-specific data and intents. Customers can also use CodeWhisperer to monitor and improve the performance and quality of their agents.
Second, AWS has announced Amazon Bedrock, a new platform that enables customers to access and use FMs for various generative tasks, such as text generation, image synthesis, and video creation. Bedrock provides a catalog of FMs that customers can browse and select based on their use cases and requirements. Customers can also use Bedrock to fine-tune FMs with their own data and deploy them on AWS.
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| Amazon Bedrock use cases |
Amazon Bedrock is a new service that aims to make it easier for developers and businesses to build and scale generative AI applications with foundation models (FMs). FMs are large-scale AI models that can generate text, images, or other types of content from natural language prompts or data inputs. FMs have many potential use cases, such as creating original content, building conversational interfaces, searching and synthesizing information, summarizing text, generating realistic and artistic images, and classifying images and captions.
Amazon Bedrock provides a serverless experience that allows customers to choose from a wide range of FMs built by leading AI startups and Amazon, such as Jurassic-2, Claude, Stable Diffusion, and Amazon Titan. Customers can also privately customize FMs with their own data, and easily integrate and deploy them into their applications using the AWS tools and capabilities they are familiar with, such as Amazon SageMaker ML features. Amazon Bedrock handles all the infrastructure management, security, and scalability aspects of using FMs in the cloud.
Third, AWS has introduced Amazon SageMaker JumpStart for Generative AI, a new feature that helps customers get started with generative AI quickly and easily. JumpStart provides a collection of ready-to-use notebooks and code samples that demonstrate how to use FMs for common generative tasks, such as summarization, translation, captioning, style transfer, and more. Customers can also use JumpStart to discover and launch FMs from Bedrock with a few clicks.
With these new tools, AWS aims to democratize generative AI and make it accessible to anyone who wants to use it. AWS believes that generative AI will transform customer experiences and applications across industries and domains. To learn more about these new tools and how to get started with generative AI on AWS, visit https://aws.amazon.com/generative-ai/.
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