In machine learning, temperature controls the randomness of model outputs. Lower values make the model more deterministic and confident, while higher values encourage creativity and diversity. It is crucial for fine-tuning language models and generative AI. Developers, data scientists, and AI researchers benefit by balancing accuracy with innovation in applications like chatbots and content generation.
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