Deploying AI Assistants with OpenVINO™ on the AI PC | Technical Talk | Innovation Selects

Опубликовано 10 октября 2024, 19:00

Learn about power efficient AI at the edge by building local assistants with Intel® Core™ Ultra. Create personalized AI assistants with Intel® Core™ Ultra. Discover how to leverage LLMs, speech transcription, and optimization techniques for efficient deployment.

In this session, we explore how to build and deploy local LLM-based assistants on the AI PC or at the edge. Our pipeline leverages a real-time speech transcription model (Distil-Whisper), and Large Language Model (LLama3) powered chatbots leveraging Retrieval Augmented Generation (RAG), to personalize user interactions via text generation and summarization over prior interaction history. We discuss how the Intel® Core™ Ultra enables efficient deployment of LLMs on the CPU, iGPU, and NPU, through optimization techniques such as quantization and OpenVINO™ compression libraries. Live demos will be presented throughout the session to ensure developers can see the work in action.

Intel Innovation: intel.ly/46ixwbA

Intel Events: intel.ly/4dCbLWb

Intel Architecture Set Extensions Programming Reference Sheet Download: intel.ly/4eArOF8

Optimizing Software for Intel® Hybrid Processors: intel.ly/482cr6g

Processor Power Management Options | Microsoft Learn: intel.ly/3U4cCbo

Process Threads API: Win32 apps | Microsoft Learn: bit.ly/3Y5te3M

System CPU Set Information | Win32 Apps | Microsoft Learn: intel.ly/3zHAcDU

Microsoft Media Foundation - Win32 apps | Microsoft Learn: intel.ly/47Waxnz

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Deploying AI Assistants with OpenVINO™ on the AI PC | Technical Talk | Innovation Selects