Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart
AWS Machine Learning
FEBRUARY 2, 2024
In this post, you’ll learn about some of the considerations for embedding vector analysis and detecting signals of embedding drift. Because embeddings are an important source of data for NLP models in general and generative AI solutions in particular, we need a way to measure whether our embeddings are changing over time (drifting).
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