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Re:State-of-the-Art Ember embedding model for retrieval augm... by enrike on Friday October 20, 2023 @11:30AM (#37957515)
Model has been trained on an extensive corpus of text pairs that encompass a broad spectrum of domains, including finance, science, medicine, law, and various others. During the training process, we incorporated techniques derived from the RetroMAE and SetFit research papers.