The Basics of Prompt Engineering with Azure OpenAI Service

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  • เผยแพร่เมื่อ 22 ธ.ค. 2024

ความคิดเห็น • 6

  • @hqcart1
    @hqcart1 ปีที่แล้ว +4

    I noticed azure replies are way off than chatGPT (3.5 on both), any reason?

  • @davidblakeley1983
    @davidblakeley1983 ปีที่แล้ว +1

    Can I build the openAI/Cognitive Search bot directly into Microsoft Teams? Whats the best way to do that?

  • @murdockcrc
    @murdockcrc ปีที่แล้ว +1

    I'd really like to understand how to integrate data in relational / structured databases with the chat. Some of the most valuable data for an enterprise is stored in such databases. Though I understand why plugging in the chat to such data stores is difficult. Once you have defined an approach for that, I'd really like for you guys to put up a video explaining how to achieve this (i.e: integrating the chat with data on Synapse, Cosmos, SQL, ADX).

  • @murdockcrc
    @murdockcrc ปีที่แล้ว

    This is really good material, thx for putting this together. Very well done and I've shared this video with my team. PS: stop poking your eye, Seth. Nothing good is going to happen if you keep doing that :D

  • @patriciodilet9192
    @patriciodilet9192 ปีที่แล้ว +3

    Honestly, I was expecting a lot more.😢

  • @hussienalsafi1149
    @hussienalsafi1149 ปีที่แล้ว

    👌👌👌👌👌😊😊😊😊😊😊😎😎😎😎😎