AI Frameworks Help Data Scientists For GenAI Survival

A variety of algorithms for model construction are offered by AI frameworks like scikit-learn, PyTorch, and TensorFlow

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By guaranteeing that the data is relevant, AI tools like Pandas and Modin enable you to clean, preprocess, and manipulate large datasets

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To improve models and their performance, they provide a range of techniques for cross-validation, hyperparameter optimization

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Tools such as ONNX Runtime and MLflow help with cross-platform deployment and experimentation tracking

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The technologies that developers are already familiar with in data analytics, machine learning, and deep learning can be used

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For the many phases of the AI process, such as data preparation, model training, inference, and deployment, Intel has optimized the current AI tools

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AI frameworks, which are based on a single, open, multiarchitecture, multivendor software platform called oneAPI programming model

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