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Text Embedding Models Contain Bias. Here's Why That Matters.

developers.googleblog.com

As Machine Learning practitioners, when faced with a task, we usually select or train a model primarily based on how well it performs on that task. For example, say we're building a system to classify whether a movie review is positive or negative. We take 5 different models and see how well each performs this task:

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