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DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // MLOps Podcast  

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13 сен 2024

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Комментарии : 15   
@_tnk_
@_tnk_ 8 месяцев назад
Great insights from Omar! Thanks for having him on.
@RaviKumar-cn7pt
@RaviKumar-cn7pt 7 месяцев назад
Colbert is Awesome!!
@MLOps
@MLOps 5 месяцев назад
Indeed!
@mysticaltech
@mysticaltech 5 месяцев назад
Love the face of Demetrios when the prompt generation phase is explained "call the model potentially with high temperature successively" 🤣🤣 Really good interview, keep up the good work folks!
@MLOps
@MLOps 5 месяцев назад
You are too kind. i was soooo lost and just hanging on by the heel of my seat when doing this one!
@rembautimes8808
@rembautimes8808 5 месяцев назад
Hi Omar, I was a DSP engineer when I started my career 20 years ago. But I like the DSP connections of being fast , powerful and highly optimised
@kevon217
@kevon217 7 месяцев назад
Great discussion!
@matten_zero
@matten_zero 7 месяцев назад
5:57 I like the mysticism and psychology of trying to craft prompts but this is a good point. As an AI Engineer I work at a level of abstraction that prompt engineering is a necessary evil. It works but we don't really know why. My hope is that this DSPy technique can formalize a lot of this
@MLOps
@MLOps 5 месяцев назад
1000% agree. hopefully its something we look at in 10 years as an artifact of a different age
@MLOps
@MLOps 4 месяца назад
Join us at our first in-person conference on June 25 all about AI Quality: www.aiqualityconference.com/
@NadaaTaiyab
@NadaaTaiyab 6 месяцев назад
Great interview! What a brilliant guy!
@MLOps
@MLOps 6 месяцев назад
100%
@jakobkristensen2390
@jakobkristensen2390 7 месяцев назад
Super informative!
@billykotsos4642
@billykotsos4642 3 месяца назад
This sounds like a proper LLM optimization software. Langchain is just something that is stitched together in a very brittle way... Whereas DSP looks to ground itself on very concrete foundations!
@not_a_human_being
@not_a_human_being 5 месяцев назад
all nice and dandy, except it doesn't work.
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