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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. Amazon OpenSearch Service now supports the cosine similarity metric for k-NN indexes.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

With deterministic evaluation processes such as the Factual Knowledge and QA Accuracy metrics of FMEval , ground truth generation and evaluation metric implementation are tightly coupled. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs. 201% $12.2B

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

During the solution design process, Verisk also considered using Amazon Bedrock Knowledge Bases because its purpose built for creating and storing embeddings within Amazon OpenSearch Serverless. In the future, Verisk intends to use the Amazon Titan Embeddings V2 model. The user can pick the two documents that they want to compare.

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Cybersecurity Snapshot: Insights on Hive Ransomware, Supply Chain Security, Risk Metrics, Cloud Security

Tenable

Get the latest on the Hive RaaS threat; the importance of metrics and risk analysis; cloud security’s top threats; supply chain security advice for software buyers; and more! . But to truly map cybersecurity efforts to business objectives, you’ll need what CompTIA calls “an organizational risk approach to metrics.”.

Metrics 52
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Import a question answering fine-tuned model into Amazon Bedrock as a custom model

AWS Machine Learning - AI

To evaluate the question answering task, we use the metrics F1 Score, Exact Match Score, Quasi Exact Match Score, Precision Over Words, and Recall Over Words. The FMEval library supports out-of-the-box evaluation algorithms for metrics such as accuracy, QA Accuracy, and others detailed in the FMEval documentation.

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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

60 Minutes to Better Product Metrics , July 10. Systems engineering and operations. Systems Design for Site Reliability Engineers: How To Build A Reliable System in Three Hours , May 14. Practical Software Design from Problem to Solution , May 17. AWS Design Fundamentals , June 10-11.

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21 Best Practices for Migrating to React JS

Modus Create

In many cases, this layer could exist in the cloud as redirects or services like serverless compute. Serverless on the Edge or CDN is a great choice as it comes with extremely low latency of around 30ms worldwide. Consider managing performance metrics via open-source budgeting tools like Modus Gimbal. Use a Design System.