NVIDIA CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model created by NVIDIA. It allows developers to utilize the power of NVIDIA GPUs for general purpose processing. CUDA enables the acceleration of compute-intensive applications by offloading tasks from the CPU to the GPU, which is particularly beneficial for tasks like deep learning, scientific computing, and image processing. Common use cases include training machine learning models, running simulations, and performing complex mathematical computations efficiently.
Learn about n-grams, their characteristics, and common use cases in natural language processing.
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AI Fundamentals