Deploying AI Assistants with OpenVINO™ on the AI PC | Technical Talk | Innovation Selects
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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Intel Architecture Set Extensions Programming Reference Sheet Dowhttps://intel.ly/4eArOF84eArOF8
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Processor Power Management Options | Microsofthttps://intel.ly/3U4cCbo/3U4cCbo
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Custom AI Assihttps://intel.ly/3zXm75m/3zXm75m
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Deploying AI Assistants with OpenVINO™ on the AI PC | Technical Talk | Innovation Selects