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One full pass of the training data through the model. Training jobs run for tens to thousands of epochs depending on the dataset size and model. Large language models often train for a single epoch over trillions of tokens because the dataset itself is enormous.
Reading training reports requires fluency in epochs versus steps versus tokens. The vocabulary differs across vision, language, and reinforcement-learning teams.
One full pass of the training data through the model. Training jobs run for tens to thousands of epochs depending on the dataset size and model. Large language models often train for a single epoch over trillions of tokens because the dataset itself is enormous.
Reading training reports requires fluency in epochs versus steps versus tokens. The vocabulary differs across vision, language, and reinforcement-learning teams.
Definitions are original explanations written for career development purposes. For authoritative technical definitions, refer to NIST, ISO, or the relevant standards body.
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