1 रिपॉजिटरी
Programmatic definition of models that manage internal memory buffers and variables.
Distinct from Model Construction: Specifically focuses on the creation of models with internal state rather than general model assembly.
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OpenVINO is an AI inference engine and model serving platform designed to execute optimized deep learning models across CPUs, GPUs, and NPUs through a unified API. It includes a model optimization toolkit for converting, quantizing, and compressing models from various frameworks, alongside a specialized generative AI runtime for large language models. The project distinguishes itself through a plugin-based hardware acceleration layer that maps neural network operations to vendor-specific drivers. It features advanced execution mechanisms such as continuous batching, speculative decoding, and
Allows creating models from scratch by defining variables and operations to manage internal memory buffers.