Edge Devices and LLMs: What's Ahead for AI

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  • Опубліковано 27 вер 2024

КОМЕНТАРІ • 5

  • @deangreenhough3479
    @deangreenhough3479 3 місяці тому +5

    I’m only half way through the video. But had to comment to say this is well worth a watch. Great interview, well done gentlemen. ✅

  • @ricardostocker2012
    @ricardostocker2012 3 місяці тому +1

    Conclusion
    Implementing logarithmic and optimized calculations on edge devices with limited resources can significantly improve efficiency and performance. By following these strategies, you can develop robust and efficient solutions that make the most of limited hardware capabilities.

  • @OMNI_INFINITY
    @OMNI_INFINITY 3 місяці тому +2

    Reminds of the type of people that were more common in silicon valley about. a calendar decade ago...before mba and india locusts downgraded the historical bright-eyed giddy engineers scene there.

    • @AlbertRei3424
      @AlbertRei3424 3 місяці тому

      Can't you compete with indians? Then go back studying.
      Why do they prefer hiring indians? There is a reason.

  • @chrisbradley3224
    @chrisbradley3224 3 місяці тому +1

    Very interesting and pertinent. Well worth the listen. Not a lot of embedded or edge discussion out there.