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

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

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

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

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

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

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