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June 27
GenAI Fundamentals with OpenVINO^™ | On Demand
03:00 PM - 04:15 PM IST
July 18
New Era of AI PC: AI to NPU | On Demand
03:00 PM - 04:15 PM IST
August 8
Model Compression and Optimization | On Demand
03:00 PM - 04:15 PM IST
September 12
Ask it aloud. LLMs on Small Form Factor? | On Demand
03:00 PM - 04:15 PM IST
November 7
Bringing GenAI to AI PC | On Demand
03:00 PM - 04:15 PM IST

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Date

Event Details
On Demand

GenAI Fundamentals with OpenVINO^™
GenAI Fundamentals with OpenVINO^™

Generative AI (GenAI) models are rapidly evolving, with smaller models now proving to be as effective as their larger counterparts, offering agility and resource efficiency.

Explore the future of GenAI with our AI Evangelists and an Intel Fellow. Discover how to deploy efficient GenAI models on AI PCs and edge devices using the OpenVINO^™ toolkit for faster, smarter inference.
Key Takeaways
- Understand the balance between small and large language models (LLMs).
- Learn about LLM compression techniques like INT8, INT4, and 1-bit models.
- Discover new features in the latest OpenVINO^™ release, including broader LLM models, Mixture of Experts (MoE) architecture, and memory optimization.
- Watch demos of GenAI deployment on Intel^® hardware.
- Gain insights into deploying AI models with OpenVINO^™ Model Server and new GenAI workloads.
Register now Watch now
Speakers

Anisha Udayakumar

AI Software Evangelist, Asia-Pacific and Japan, Intel

Paula Ramos, Ph.D

AI Software Evangelist, USA, Intel

Ria Cheruvu

AI Software Evangelist, USA, Intel

Yury Gorbachev

Intel Fellow, OpenVINO Product Architecture, Intel
On Demand

New Era of AI PC: AI to NPU
New Era of AI PC: AI to NPU

Discover the unique AI acceleration capabilities of the AI PC, which span across CPU, GPU, and NPU.

Attend this session to gain a comprehensive understanding of leveraging the NPU for AI inference tasks and using OpenVINO^™ to optimize AI applications. Watch demos showcasing the performance and power efficiency of AI applications on the AI PC.
Key Takeaways
- Understand what an AI PC is and its AI acceleration capabilities across CPU, GPU, and NPU.
- Explore various AI use cases, including conventional and generative AI, and see their practical applications on the AI PC.
- Learn how the NPU enhances AI application performance and power efficiency, especially for tasks traditionally offloaded to AI accelerators.
- Discover techniques for optimizing and deploying AI applications on NPU using OpenVINO^™ for maximum efficiency.
- Watch demos showing seamless AI application transitions to the NPU with OpenVINO^™.
- Find out how developers can leverage OpenVINO^™ on AI PCs to enhance their AI projects.
Register now Watch now
Speakers

Anisha Udayakumar

AI Software Evangelist, Asia-Pacific and Japan, Intel

Dmitriy Pastushenkov

AI PC Evangelist, Europe, Middle East and Africa, Intel

Darren Crews

Sr. Principal AI Engineer, Intel

Dmitry Matveev

AI Software Engineering Manager, CCG Client Graphics & AI / NPU IP, Intel
On Demand

Model Compression and Optimization
Model Compression and Optimization

Learn to build computer vision and anomaly detection applications using the open-source Anomalib library for real-time defect detection, improving quality control across industries like manufacturing, healthcare, and agriculture.

Attend this session to gain hands-on experience with AI inference solutions, see a robot in action, and stay updated on the latest VAND 2.0 Challenge at CVPR.
Key Takeaways
- Understand the fundamentals of the OpenVINO^™ toolkit, OpenVINO^™ runtime, and Neural Network Compression Framework (NNCF) in anomaly detection.
- Master the integration of state-of-the-art anomaly detection algorithms using Anomalib 1.0.
- Learn to train and optimize AI models for edge deployment with techniques like quantization and OpenVINO^™.
- Gain practical experience in model optimization and deployment on edge devices.
- Discover future industry challenges in anomaly detection.
What's More?

Participate in the workshop quiz for a chance to win special Amazon vouchers*.

Register now Watch now
Speakers

Anisha Udayakumar

AI Software Evangelist, Asia-Pacific and Japan, Intel

Paula Ramos, Ph.D

AI Software Evangelist, USA, Intel

Samet Akcay

AI Research Engineer, Intel

Zhuo Wu, Ph.D

AI Software Evangelist, People's Republic of China, Intel

*Read the 'Terms and Conditions' for the quiz here.
On Demand

Ask it aloud. LLMs on Small Form Factor?
Ask it aloud. LLMs on Small Form Factor?

Explore deploying large language models (LLMs) on client PCs and small form factor at the edge, focusing on implementing a conversational voice agent.

Learn efficient techniques for deploying LLMs on resource-constrained devices using OpenVINO^™, and see how a Gradio-built interface can enhance usability.
Key Takeaways
- Understand how the Edge AI Reference Kit enables advanced LLM deployment on edge devices.
- Learn how OpenVINO^™ optimizes LLMs for AI PCs, balancing performance and power efficiency.
- Discover methods to reduce model size and computational demands for efficient LLM applications.
- Gain practical skills in implementing LLMs with OpenVINO^™ for powerful, efficient AI applications.
- See how OpenVINO^™ enhances the capabilities of LLMs on edge devices for smarter, faster AI solutions.
What's More?

Participate in the workshop quiz for a chance to win special Amazon vouchers*.

Register now Watch now
Speakers

Anisha Udayakumar

AI Software Evangelist, Asia-Pacific and Japan, Intel

Adrian Boguszewski

AI Software Evangelist, Europe, Middle East and Africa, Intel

Zhuo Wu, Ph.D

AI Software Evangelist, People's Republic of China, Intel

*Read the 'Terms and Conditions' for the quiz here.
On Demand

Bringing GenAI to AI PC
Bringing GenAI to AI PC

Dive into generative AI on the latest AI PCs, leveraging AI acceleration across CPU, GPU, and NPU.

Designed for developers, this session is a comprehensive overview of using GPU and NPU for image-based generative AI and using OpenVINO^™ to optimize the implementation and deployment of AI models such as Stable Diffusion, Latent Consistency Models, and more.
Key Takeaways
- Understand AI PC's AI acceleration capabilities across CPU, GPU, and NPU.
- Explore various AI use cases, including generative AI, with practical applications on AI PCs.
- Learn how generative AI applications achieve maximum performance and power efficiency using heterogeneous computing.
- Watch demos of seamless AI application transitions across CPU, GPU, and NPU with OpenVINO^™.
- Discover how to experiment with and leverage OpenVINO^™ on AI PCs for enhancing generative AI projects.
What's More?

Participate in the workshop quiz for a chance to win special Amazon vouchers*.

Register now Watch now
Speakers

Anisha Udayakumar

AI Software Evangelist, Asia-Pacific and Japan, Intel

Dmitriy Pastushenkov

AI PC Evangelist, Europe, Middle East and Africa, Intel

Ria Cheruvu

AI Software Evangelist, USA, Intel

Ryan Metcalfe

AI Software Solutions Engineer, Intel

*Read the 'Terms and Conditions' for the quiz here.