Microsoft Phi-3 Beats Llama 3 8B: Did it Pass the Coding Test? (Deploy in Azure)

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  • Опубликовано: 28 май 2024
  • 🚀 Introduction
    Join us as we explore Microsoft's latest innovation, the Phi 3 small language model, known for its impressive balance between size and performance. In this video, we'll compare Phi 3 with other leading models like Llama 3, Gemma 7B, and Mistral 7B across various benchmarks to see how it stacks up.
    👨‍💻 Tech Deep Dive
    Get an in-depth look at the technical specifications and performance metrics of Phi 3, focusing on its application in real-world scenarios and integration into Microsoft's Azure AI Studio.
    🎮 Live Demos
    Watch as we put Phi 3 to the test with live coding challenges, logical reasoning tasks, and even game development.
    🌐 Deployment Guide
    Learn how to deploy Phi 3 in Azure AI Studio and integrate it seamlessly into your Python applications.
    🔔 Stay Connected
    Subscribe for more content on artificial intelligence and cutting-edge technology. Don't forget to like this video and hit the bell icon to get notified about our latest uploads!
    🔗 Resources:
    Patreon: / mervinpraison
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    Timestamps:
    0:00 - Introduction to the Phi 3 Model
    0:11 - Performance and Benchmarks
    0:53 - Technical Details and Limitations
    3:32 - Coding and Logical Reasoning Challenges
    6:24 - Enhanced Trip Planning with Web Search
    8:13 - Deploying in Azure and API Integration
    10:00 - Conclusion and Call to Action
    #phi3 #smalllanguagemodel #microsoft #llm #phi3 #phi-3 #microsoftphi3 #phi #mixtral #mistral #gemma #llama #llama3 #phi3beatsllama
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Комментарии • 11

  • @TreeYogaSchool
    @TreeYogaSchool Месяц назад

    You are a great teacher of AI. Thank you!

  • @kate-pt2ny
    @kate-pt2ny Месяц назад

    Thank you for sharing the last deployment in Azure. It's very useful

  • @baraka99
    @baraka99 Месяц назад

    I guess I am waiting now for you to setup all the processes as you have done for Llama 3.
    Looking forward to the follow up videos.

  • @andreabovo5208
    @andreabovo5208 28 дней назад +1

    One question; if phi3 is so small; why need that big vm on Azure? i can install it on my personal computer and run fine; i would like to deploy it on "normal" vm on Azure. That vm is so expensive that using chatgpt 4 api is less expensive.

  • @RobynLeSueur
    @RobynLeSueur Месяц назад +3

    Not bad at all for such a tiny model. Punching way above it's weight.

  • @maheshBasavaraju
    @maheshBasavaraju Месяц назад

    Impressed. How are these 3 b parameters model gpt4 is simply mind blowing to me🤯

  • @tonywhite4476
    @tonywhite4476 Месяц назад

    Have you ever tested Jan?

  • @daemoncluster
    @daemoncluster Месяц назад +3

    Could do wothout the sound effects. Good video otherwise.

    • @brianWreaves
      @brianWreaves Месяц назад

      Agree. Or at least turn down the audio level for them.

  • @JarppaGuru
    @JarppaGuru Месяц назад

    depend if it trained what you ask to program. it not generate what it not know. its tool not ai. there is difference what peoples think ai is LOL.
    lets train. this is question. this is answer. we have programmed answer. we allready know

  • @michabbb
    @michabbb Месяц назад

    okay, time to unsubscribe, cannot listen any longer to this stupid "this is amazing" crap, sorry