Openvino Samples, OpenVINO™ GenAI is a library of the most popular Generative AI model pipelines, optimized execution methods, and samples that run on top of highly performant OpenVINO Runtime. Before using the sample, refer to the following requirements: Models with only one input and output are supported. To get started, you must first install OpenVINO Runtime, install OpenVINO Development tools, and build the sample applications. Image Classification Async Sample ¶ This sample demonstrates how to do inference of image classification models using Asynchronous Inference Request API. OpenVINO™ Toolkit Optimize models trained with TensorFlow*, PyTorch*, and more. 04 OpenVINO 2023. This repository includes optimized deep learning models and a set of demos to expedite development of high-performance deep learning inference applications. Advanced Usage # Note By default, OpenVINO samples, tools and demos expect input with BGR channels order. OpenVINO GenAI Samples C text_generation (GitHub) visual_language_chat (GitHub) whisper_speech_recognition (GitHub) The OpenVINO™ samples are simple console applications that show how to utilize specific OpenVINO API capabilities within an application. Hi team , I have a question about OpenVINO/OpenVINO GenAI workflows: Is there an in-built function or API to measure tokens per second (throughput) for LLM inference (e. euab, lbd3bt, 407ppq, jrgn, 12wqh, hrvv, gqizw, av7t1, blvhwd, omi9,