r/MachineLearning
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Comparing embedding models with synthetic query probing [R]
Say you want to swap out your embedding models, for instance from ADA to Titan. Are these embedding models comparable? How do similarity score ranges compare? Where to put a threshold for minimum match when doing retrieval? Or more from a research point of view how can we relate and fundamentally understand these embed