In this demo you’ll see Phi-3, a small language model from Microsoft, running locally on a Lunar Lake system. We’ll show how retrieval-augmented generation allows you to teach the model over time by supplying your own sources of data, making it more scalable and capable of giving hyper-specific answers.
To learn more about Lunar Lake, check out Talking Tech’s overview by clicking the featured link at the bottom of this video.
For more details on Lunar Lake disclosures at ITT, visit the Computex 2024 page on intel.com/performanceindex
To learn more about Lunar Lake, check out Talking Tech’s overview by clicking the featured link at the bottom of this video.
For more details on Lunar Lake disclosures at ITT, visit the Computex 2024 page on intel.com/performanceindex
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- Intel
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