Amazon Bedrock

Fully managed service offered by AWS that enables developers to build and deploy generative AI applications using a variety of foundation models (FMs) and LLMs from leading AI companies. It simplifies the integration of AI capabilities into applications, providing a single API for accessing multiple models.

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What is?

Amazon Bedrock is designed to make it easy for developers to leverage generative AI without the need for extensive machine learning expertise or infrastructure management. The service offers access to a range of high-performing FMs from companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.

Key features include the ability to customize these models with proprietary data through fine-tuning and continued pretraining, as well as the use of RAG to enrich model responses with up-to-date and proprietary information. Amazon Bedrock also provides robust security and privacy features, including safeguards to block harmful content and protect sensitive data.

Why is important?

  • Ease of Use: Amazon Bedrock simplifies the process of building and deploying generative AI applications, reducing the need for deep machine learning expertise.
  • Flexibility: The service offers a broad selection of FMs from multiple providers, allowing developers to choose the best model for their specific use cases.
  • Security and Privacy: Amazon Bedrock includes robust security features to ensure that AI applications are safe, trustworthy, and compliant with responsible AI principles.

How to use

  • Model Selection: Choose from a variety of FMs available through a single API. This includes models from different providers, allowing flexibility in selecting the best model for specific use cases.
  • Customization: Fine-tune the selected models using your own labeled datasets to adapt them to domain-specific tasks. Amazon Bedrock supports fine-tuning for several models, including those from Cohere, Meta, and Amazon's own Titan models.
  • Integration: Integrate the customized models into your applications without managing infrastructure. Amazon Bedrock is serverless, ensuring seamless deployment and scalability.
  • Security and Privacy: Implement safeguards to protect sensitive data and block harmful content using features like Guardrails for Amazon Bedrock.

Examples

  • Virtual Building Assistant: A company like BrainBox AI uses Amazon Bedrock to develop a virtual building assistant named ARIA. ARIA is integrated with Amazon Bedrock's custom model import capability, allowing it to adjust a building's temperature, identify failing equipment, and optimize energy efficiency.

    By leveraging Amazon Bedrock's FMs and fine-tuning them with proprietary data, ARIA can provide highly accurate and contextually relevant responses, enhancing the overall energy efficiency and maintenance of commercial buildings. This integration demonstrates how Amazon Bedrock can be used to build sophisticated AI applications that execute complex tasks securely and efficiently.

Additional Info

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Connect to Promptitude an advanced AI cloud provider like Amazon Bedrock and gain access to models from AI21 Labs, Anthropic, Cohere, Meta, and Mistral AI.

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