Join us for monthly workshops on how you can optimize your AI applications.
Why join?
OpenVINO™ toolkit's newest release, 2023.1, is here! Join to discover the new changes in our latest release of OpenVINO. We will explain some of the significant improvements on generative AI and LLM models, together with CPUs, GPUs, and more! Did you know today you can run Llama2 on your laptop with only CPUs using OpenVINO’s optimization? Join in to learn more and hear how Intel is doing in this fast-changing world of AI.
What you’ll learn:
Generative AI is exploding, bringing potential AI applications that could change everything we do. In this workshop, we'll delve into the world of transformer models, including Stable Diffusions and text processing, as well as explore how we've optimized these models to run on Intel’s wide variety of hardware. We'll also take a look at Jupyter Notebook tutorials that you can run on your own machine, providing you with hands-on experience with these powerful tools.
Quantization is a valuable process in Deep Learning of mapping continuous values to a smaller set of discrete finite values. In this talk, we will explore the different types of quantization techniques that can be applied to deep learning models. In addition, we will give an overview of the Neural Network Compression Framework (NNCF) and how it complements the OpenVINO™ Toolkit to achieve outstanding performance.
Join us for a step-by-step tutorial on how to create an intelligent retail queue management system using the OpenVINO™ toolkit and YOLOv8. We'll walk you through the process of integrating these powerful open-source tools to develop an end-to-end solution that can be deployed in retail checkout environments. By the end of the presentation, you'll have the knowledge and resources to build your own solution.
The integration of AI in laboratory environments is rapidly changing the way clinical pharmaceutical scientists innovate and extract insights. However, the optimization and deployment of scientific pipelines is often challenging due to laboratory settings and requirements.
In this talk, we will demonstrate how to efficiently build and deploy scientific AI models in using open-source technologies. We will walk through an end-to-end case study, inviting Beckman Coulter Life Sciences to share how they leveraged OpenVINO™ optimizations and OpenVINO model server to unlock AI performance for their CellAI toolbox.
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference.
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