Amazon Bedrock is a cloud service by Amazon Web Services (AWS) that provides a platform for building and scaling generative AI applications using foundation models (FMs). It is designed to offer easy access to a variety of high-performing FMs from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon itself.
What makes Bedrock great is its ability to make these foundation models accessible through a unified API, allowing developers to experiment with and evaluate the best models for their specific use cases. It is also able to privately customize models with your data, which is important for delivering personalized user experiences and adapting models for specific tasks or industries.
Amazon Bedrock also excels in integrating current and relevant company data into the generative processes through Retrieval-Augmented Generation (RAG) and Agents. RAG allows for the augmentation of prompts with up-to-date company data to produce more relevant and accurate responses. On the other hand, Agents enable the execution of complex tasks across company systems — enhancing productivity and customer service by automating tasks such as answering queries about product availability or executing orders.
As that’s the case with all AWS solutions, Amazon Bedrock comes with robust measures to ensure data protection that include stringent security and compliance standards — including SOC, ISO, HIPAA eligibility, and GDPR compliance. This makes it a reliable choice for businesses in highly regulated industries.
The platform’s console further simplifies the use of generative AI by providing an easy-to-use interface for accessing foundation models, experimenting with model capabilities through playgrounds, and deploying AI applications.
In a nutshell, Amazon Bedrock represents a significant advancement in making generative AI more accessible and usable across various industries — simplifying the development process while maintaining high standards of privacy and security.