Pre-training
Pre-training is a stage of machine learning in which a model learns parameters from a source dataset or source objective before those parameters are reused or adapted for a target use.
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Pre-training is a stage of machine learning in which a model learns parameters from a source dataset or source objective before those parameters are reused or adapted for a target use.
Supervised fine-tuning (SFT) is supervised training applied to a model that has already been trained.
Swarm intelligence (SI) is a branch of artificial intelligence concerned with the collective behavior of decentralized, self-organized systems