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temperature: Parameters established to manage how random a language model's output is. a greater temperature indicates the model takes much more pitfalls. close-to-conclusion learning, or E2E: A deep Mastering procedure during which a model is instructed to execute a activity from start out to complete. It's not skilled to perform a ac