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

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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.

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

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

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

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




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