Amazon Bedrock
Amazon Bedrock is a fully managed service designed for building generative AI applications with large foundation models (FMs). It provides access to FMs from Amazon and leading AI startups through a single, unified API, allowing you to experiment, fine-tune, and integrate them into your applications seamlessly.
Core Benefits​
Model Choice and Flexibility: Access a diverse set of leading foundation models
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AI21 Labs
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Anthropic
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Cohere
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Meta
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Stability AI
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Amazon
through one API, allowing you to choose the best model for your specific task.
Simplified Development: Eliminates the complexity of hosting and managing large models, enabling you to focus on building applications rather than managing infrastructure.
Data Privacy and Security: Your data is not used to train the original base models. All data is encrypted and does not leave your VPC, ensuring privacy and control.
Customization at Scale: Easily fine-tune foundation models with your own labeled data to create custom models that understand your company's specific terminology and style.
Use Cases​
Enterprise-Grade Generative AI​
Build production-ready generative AI applications for content summarization, text generation, and question-answering with enterprise-level security, privacy, and scalability, all within your secure AWS environment.
Multimodal Content Generation​
Create applications that can generate multiple content types, such as generating marketing copy with a text model and then creating a corresponding image with a model like Stable Diffusion, all through the same Bedrock API.
Advanced Conversational AI​
Develop sophisticated conversational agents and chatbots that connect to your enterprise data using Retrieval Augmented Generation (RAG). These agents can provide accurate, context-aware responses to user queries.
Shared Responsibility Model​
AWS Responsibilities: AWS manages the underlying compute infrastructure, hosting and availability of the foundation models, security of the service endpoints, and the API gateway.
Customer Responsibilities: You are responsible for managing API access keys, the data you use for fine-tuning, the prompts sent to the models, the security of your own applications, and the responsible use of the generated content.
Amazon Bedrock simplifies access to powerful foundation models, allowing developers to build scalable and secure generative AI applications without managing complex infrastructure.
Use case: Ideal for businesses looking to build generative AI applications for text and image creation, conversational agents, and search, while maintaining full control over data privacy.