Teplota

„Teplota“ is the Czech word for „temperature.“ In computer science, particularly in contexts involving data science, machine learning, or software development, „temperature“ can refer to a parameter used in various algorithms and models. Specifically, in the context of neural networks, „temperature“ is often associated with controlling the randomness of predictions. For example, in natural language processing, a higher temperature can lead to more diverse outputs by increasing randomness, whereas a lower temperature yields more deterministic results. Temperature can also pertain to the cooling of hardware components, influencing performance and reliability in computing environments.