Setting up Azure AI foundry and build your first AI app | Part 1

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  • Опубликовано: 19 янв 2025

Комментарии • 13

  • @ankit_guha
    @ankit_guha 4 дня назад +2

    Awesome 🔥🔥

  • @nicolassuarez2933
    @nicolassuarez2933 3 дня назад +2

    Outstanding! How to get the final endpoint for production? Thanks!

    • @pairprogrammers
      @pairprogrammers  День назад

      Thanks! I'll cover this in the upcoming videos.

  • @imarjunthakur94
    @imarjunthakur94 7 дней назад +1

    Thankyou for making the video .... looking forward to this channel for more such knowledgeable info

    • @pairprogrammers
      @pairprogrammers  День назад

      I’m glad you found the video helpful. There’s a lot more exciting content coming up, so stay tuned! Let me know if there’s anything specific you’d like me to cover.

  • @DavidWilsonNZ
    @DavidWilsonNZ 6 дней назад +1

    Well done - pitched at a good level. I'm looking forward to part 2.
    Keen to see how to point the AI at my data (I have a pre-prepared .xlsx file(s) along with reference/dimension data) that I want to ask questions of. So far it saying it can't read my data...
    For example... I've got data for 6 months across a number of customers. I asked how many months of data it had and it couldn't tell me - I want it to analyse my data and interpret. I'd like to know where I'm going wrong.
    The other thing I want to know is in a Development to Production scenario - how is the maintenance cycle done. i.e. I've gone back into the playground for my project and the instructions to the AI are gone. I get that a playground is a playground and I'm OK with that. I want to understand the end-to-end cycle and maintenance and AI learning and growing...
    Later... once I understand more... I want to know know how to point the AI at real data (not my .xlsx file) and to an actual database... that's later... after this learning.

    • @pairprogrammers
      @pairprogrammers  День назад

      Thanks! One option you can try is setting up SQLite3 locally, loading your SQL data into it, and running the generated SQL commands or ingest it in spark/any other SQL based DB.
      Check out Part 2 (we didn’t use SQLite3, but you can modify the database call section in the linked repo to query your XLS file) - ruclips.net/video/OfEIhyE0Hxs/видео.html
      I’ll cover production deployment in the next video-stay tuned!

  • @preetisaroha3118
    @preetisaroha3118 16 дней назад +1

    Thanks for sharing. Would wait for second part of the app.

  • @PinkiDevi-ub5rs
    @PinkiDevi-ub5rs 11 дней назад +1

    Nice

  • @rammehar1237
    @rammehar1237 15 дней назад +1

    Good knowledge

  • @rajat420420
    @rajat420420 5 дней назад

    How to deploy the model via python sdk, i dont want to use azure sdk

    • @pairprogrammers
      @pairprogrammers  День назад

      It's covered in part 2 ruclips.net/video/OfEIhyE0Hxs/видео.html