Remove Metrics Remove Software Review Remove System Design
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Agentic AI design: An architectural case study

CIO

An agent is part of an AI system designed to act autonomously, making decisions and taking action without direct human intervention or interaction. Let’s review a case study and see how we can start to realize benefits now. The customer team got to work and created a design and started to create a proof-of-concept.

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Why GreenOps will succeed where FinOps is failing

CIO

Environmental oversight : FinOps focuses almost exclusively on financial metrics, sidelining environmental considerations, which are becoming increasingly critical for modern organizations. GreenOps incorporates financial, environmental and operational metrics, ensuring a balanced strategy that aligns with broader organizational goals.

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How ML System Design helps us to make better ML products

Xebia

Table of Contents What is Machine Learning System Design? Design Process Clarify requirements Frame problem as an ML task Identify data sources and their availability Model development Serve predictions Observability Iterate on your design What is Machine Learning System Design?

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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.

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

AWS Machine Learning - AI

Through advanced data analytics, software, scientific research, and deep industry knowledge, Verisk helps build global resilience across individuals, communities, and businesses. Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use.

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FaceCode: The DEFINITIVE Way Of Conducting Coding Interviews

Hacker Earth Developers Blog

Non-standardized, subjective evaluations due to lack of preparation time: From our conversations with multiple hiring managers and recruiters, we realized that ‘prep time’ is a misnomer. We believe all coding interviews should be OBJECTIVE and SKILL-BASED. FaceCode is like noise cancellation for your coding interviews.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

Due to the inherent competitiveness of various cloud providers to expand ruthlessly, they are constantly working on cutting-edge improvements and optimization features for their services that will be made available to their customers. First, the mean part. This article was made possible by our partnership with the IASA Chief Architect Forum.

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