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Unique Flavors of AI Models and Considering Data in Model Selection
Open AI doesn't have fine tuning for 3.5 and 4/nDatasets for unsupervised learning are being experimented with and there is no clear street answer for data mix options/nData filters and augmentation can be combined in unique ways, but there is no winning strategy/nDifferent models have unique flavors of data that might work well for different use cases/nLarge language models have potential beyond traditional NLP tasks, such as fraud detection