Can You Tell Me About DSPy: How DSPy Automates Prompt Engineering Modularly

[@kusumapothapragada8163]

Very detailed explaination. I have gone thru almost 15 videos before this. But none of them were so detailed to the point. Thank you

[@rehsan8141]

Thank you, the explanation was very clear and simple. I will finish the entire series.

[@andydataguy]

Excited for this series. Thanks for these videos!

[@insightbuilder]

Yep, it's exciting library indeed. DSPy optimizers are a step towards making prompt engineering and collecting data for fine-tuning streamlined.
Learning about individual parts of DSPy is key. Happy learning

[@anilshinde8025]

Py is for pytorch. Great series

[@EnricoGolfettoMasella]

Excellent video! You made a very complex subject easier to be digested ✌🏼✌🏼

[@samuelwilson7448]

Nice. Explaining how the implementation is done in dspy was helpful. Keep up the good work my friend

[@wahi80]

Very well explained, keep up the good work

[@sridharreddy5714]

what is happening inside the predict how it is predicting i cant understand

[@insightbuilder]

@@sridharreddy5714 inside predict the LLMs api are called and completiton are returned...