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Build Visual and Multimodal GenAI Locally on the AI PC

Wednesday, December 4, 2024 | 9:00 AM PT

Learn how how to use the GPU and NPU, in combination with OpenVINO™ toolkit, to develop, optimize, and deploy image-based GenAI models—such as Stable Diffusion and Latent Consistency Models—using multimodal learning.

 

According to Gartner, 40% of generative AI solutions will be multimodal by 20271. This session offers a deep dive into running multimodal generative AI on the AI PC, a laptop built with a CPU, GPU, and NPU to handle AI tasks locally and more efficiently.

Specifically, it focuses on how to use the GPU and NPU, in combination with OpenVINO™ toolkit, to develop, optimize, and deploy image-based GenAI models—such as Stable Diffusion and Latent Consistency Models—using multimodal learning.

Key takeaways:

  • An understanding of how AI acceleration technologies are integrated across the AI PC’s hardware
  • Parallels and comparisons between different GenAI algorithms and visual, multimodal capabilities on AI PC across text, audio, and images, and lessons learned during the development and optimization processes
  • Practical knowledge in implementing and deploying state-of-the-art AI models using the OpenVINO toolkit

Includes live demonstrations with reproducible source code showcasing the performance and power efficiency of AI applications on the AI PC, including multimodal applications such as Kosmos-2 and LLaVA.

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Skill level: Intermediate

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Featured code

1. Gartner Predicts 40% of Generative AI Solutions Will Be Multimodal By 2027


 
Dmitriy Pastushenkov
AI PC Evangelist & SW Architect, Intel

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Deploy Smarter, Faster, More Responsive LLMs at the Edge

Wednesday, December 11, 2024 | 9:00 AM PT

Overcome the challenges of optimizing and deploying large language models on hardware that has limited computational resources.

 

This session explores new techniques for running LLMs efficiently on client PCs and small form factor machines at the edge using the OpenVINO™ toolkit in combination with popular tools, libraries, and frameworks for model optimization and quantization.

Additionally, you’ll have the opportunity to gain practical experience by implementing a conversational AI voice agent using OpenVINO and Gradio, an open source Python package for quickly building a machine learning-based demo or web application.

Key learnings:

  • Techniques for deploying advanced LLMs on edge devices for a variety of industries such as healthcare and manufacturing
  • How to optimize and quantize LLMs to ensure superior performance and low power consumption while reducing model size and computational demands
  • How to leverage Intel tools to create AI applications that are powerful and energy-efficient for edge computing

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Skill level: Expert

Featured software tools


Featured code

Intel, the Intel logo, OpenVINO, and the OpenVINO logo are trademarks of Intel Corporation or its subsidiaries.


 
Anisha Udayakumar
AI Software Evangelist, Intel
Adrian Boguszewski
AI Software Evangelist, Intel
Zhuo Wu
AI Software Evangelist, Intel

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Building Real-World GenAI Solutions: 4 Collegiate Hackathon Winners

Wednesday, December 18, 2024 | 9:00 AM PT

Each winning team will present its blue ribbon project—built, tested, and optimized in the Intel® Tiber™ Developer Cloud using Intel’s latest hardware and AI software optimizations.

 

Meet the winners of the “Best Use of Intel Tiber Developer Cloud” track from the 2024 series of Intel-sponsored collegiate hackathons, get a walkthrough of their projects, and explore how to leverage Intel’s cloud to build your own AI applications.

The winners:

  • Robotic Registers (Hacklytics, Georgia Tech): A GraphGAN (Generative Adversarial Network) model designed to synthesize logic circuits for Electronic Design Automation (EDA) using a pytorch-gpu environment
  • Easy Deep Learning (Hacklytics, Georgia Tech): A no-code platform to simplify fine-tuning of deep learning models; utilized Intel® Extension for PyTorch
  • Mind River (HooHacks 2024, University of Virginia): A meditation and emotional support assistant leveraging fine-tuned LLMs
  • Scribe (LA Hacks, UCLA): An AI tool to empower doctors with data-driven, accurate diagnoses of patients’ health conditions using LLMs

The session also includes brief overviews of Intel student and educator programs and resources and how to get involved.

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Skill level: All

Featured software platforms

  • Session demos are done on the Intel® Tiber™ Developer Cloud, a managed cloud environment for development efficiency, cost savings, and faster time-to-market. Learn more & sign up.

Intel, the Intel logo and Intel Tiber are trademarks of Intel Corporation or its subsidiaries.


 
Nikita Shiledarbaxi
Product Marketing Engineer, Intel

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