From Poetry to Programming: The Evolution of Prompt Engineering with Riley Goodside of Scale AI

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  • Опубликовано: 6 сен 2024

Комментарии • 5

  • @BrianMosleyUK
    @BrianMosleyUK Месяц назад +2

    What a great episode! Thank you so much. 🙏👍

  • @BrianMosleyUK
    @BrianMosleyUK Месяц назад +2

    An AMA would be so valuable to your community! 😀

  • @andaldana
    @andaldana Месяц назад +1

    Great episode! Nathan, you should try to have Pliny 🐉 to talk about Red teaming

  • @minkijung3
    @minkijung3 27 дней назад

    Thanks! It's valuable!

  • @davidrobertson6371
    @davidrobertson6371 Месяц назад +2

    Some of these are so good. I would love to really pick Riley's brain, he brings up so many points that so few people ever talk about. Hell I would really like to pick Nathans brain. Integrating AI in a product or process in way that works well, and is repeatable is hard. But its one of those things where once you see the light, it's somewhat easier, it's almost like the concepts of how a LLM works is something that is hard for people to wrap their heads around. I can't explain it better than that but that, but what would your experience or opinion be on that subject? Do you think there is something that is backwards to the typical way a human thinks that makes what are really simple concepts about LLM's hard to learn?