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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. Lets assume that the question What date will AWS re:invent 2024 occur? is within the verified semantic cache.

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How Formula 1® uses generative AI to accelerate race-day issue resolution

AWS Machine Learning

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

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Governing the ML lifecycle at scale: Centralized observability with Amazon SageMaker and Amazon CloudWatch

AWS Machine Learning

AWS CloudTrail is also essential for maintaining security and compliance in your AWS environment by providing a comprehensive log of all API calls and actions taken across your AWS account, enabling you to track changes, monitor user activities, and detect suspicious behavior. Enable CloudWatch cross-account observability.

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A review of purpose-built accelerators for financial services

AWS Machine Learning

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.

Benchmark 101
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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The integration with Amazon Bedrock is achieved through the Amazon Bedrock InvokeModel APIs.

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Streamline grant proposal reviews using Amazon Bedrock

AWS Machine Learning

The June 2024 AWS Health Equity Initiative application cycle received 139 applications, the programs largest influx to date. Security and compliance Depending on the sensitivity of the data involved, additional security measures such as encryption, authentication and access control, and auditing are necessary.

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Parameta accelerates client email resolution with Amazon Bedrock Flows

AWS Machine Learning

Amazon Bedrock Flows provide a powerful, low-code solution for creating complex generative AI workflows with an intuitive visual interface and with a set of APIs in the Amazon Bedrock SDK. She helps AWS customers to bring their big ideas to life and accelerate the adoption of emerging technologies.