Advancing AI - Fine Tuning LLMs with Azure OpenAI

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  • Опубликовано: 17 ноя 2024

Комментарии • 13

  • @hpatelecom1
    @hpatelecom1 3 месяца назад +2

    we need to see a real business case with complex data and business rules

  • @Anno_Nymous
    @Anno_Nymous 14 дней назад

    Sweden central is a very good choice, because massive amounts of energy are needed for compute. Sweden has a lot of green energy.

  • @drummerboi4eva
    @drummerboi4eva 11 месяцев назад

    Thanks for sharing Simon and Gavita !! Great video

  • @rahulcn1314
    @rahulcn1314 4 месяца назад +3

    when our model is fine tunned then new endpoint is created?
    If yes then how can we use that endpoint for our use case outside azure environment ?
    btw great video 👍

  • @plamendimitrov9097
    @plamendimitrov9097 Месяц назад +1

    I am also wondering if with 20 lines of data it took 4 hours to train the model, how long would it take with a million lines?

  • @restashoremusic
    @restashoremusic 8 месяцев назад +1

    You should tell us how to use the fine tuned model via API

  • @hasanabbas1555
    @hasanabbas1555 9 месяцев назад

    intro was nice

  • @rushankpatil
    @rushankpatil Год назад +1

    How to convert json foramt into jsonl format with pyspark?

  • @shalinigoel13
    @shalinigoel13 3 месяца назад +1

    very superficial explanation. Just giving out the steps. Please also explain what is happening to the parameters of the base LLM with these 20 lines of training data?

  • @victorheineken7363
    @victorheineken7363 4 месяца назад

    I have a question, is it possible to build it with python?