Metrics Serverless System Design 
AWS Machine Learning - AI
APRIL 3, 2024
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.
AWS Machine Learning - AI
MARCH 5, 2025
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
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Machine Learning - AI
MARCH 7, 2025
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.
Tenable
NOVEMBER 25, 2022
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.”.
Confluent
FEBRUARY 13, 2019
Rather, we apply different event planes to provide orthogonal aspects of system design such as core functionality, operations and instrumentation. You not only monitor the happy path but also track all other aspects like error handling with dead letter queues, business metrics and flow metrics. Event-driven architecture.
Confluent
MAY 9, 2019
Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Building the KPay payment system.
AWS Machine Learning - AI
SEPTEMBER 30, 2024
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.
Expert insights. Personalized for you.
121 
Let's personalize your content