Xebia
AUGUST 9, 2023
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?
CIO
FEBRUARY 4, 2025
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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AWS Machine Learning - AI
SEPTEMBER 6, 2024
This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.
Apiumhub
JULY 16, 2023
In their thought-provoking presentation titled “Pragmatic Approach to Architecture Metrics” at GSAS’22 organized by Apiumhub , Sonya Natanzon, and Vlad Khononov delivered valuable insights. Consequently, we assess the capacity of architecture to embrace change through various metrics. Whatever that is.”
CIO
NOVEMBER 19, 2024
An agent is part of an AI system designed to act autonomously, making decisions and taking action without direct human intervention or interaction. Some of these data points will come from the agentic AI system and some will be generated from the automation testing system. Let’s start with the basics: What is an agent?
CIO
APRIL 25, 2024
As an example, Bottaro referenced the part of the system designed to understand intent. Without automated evaluation, LinkedIn reports that “engineers are left eye-balling results and testing on a limited set of examples and having a more than a 1+ day delay to know metrics.”
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.
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