Google Research AI blog

JANUARY 24, 2023

This poses a risk to ML system developers, and demands new model evaluation practices. We surveyed evaluation practices currently used by ML researchers and introduced improved evaluation standards in work addressing common ML pitfalls.

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Allen AI

DECEMBER 4, 2023

However, existing benchmarks for evaluating these representations fail to capture the diversity of relevant tasks. In response, this paper introduces SciRepEval, the first comprehensive benchmark for training and evaluating scientific document representations. and the bottom model gets 10.0%, whereas prior work would assign 0.0

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The MLOps Blog

JUNE 27, 2023

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. Commercial details Consider the commercial details when evaluating MLOps tools and platforms. For example, neptune.ai

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Probably Approximately a Scientific Blog

JANUARY 12, 2021

One way to show it is through evaluation on tasks requiring commonsense knowledge. This format is the easiest to evaluate automatically: models are judged for their accuracy, i.e. what percent of the questions they answered correctly. The challenge in generative tasks is the lack of reliable automatic evaluation metrics.

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