DsPy crash course - optimize your LLM pipelines with DsPy (Part 1)

[@pazarazi]

The best 20m introduction of DSPy so far. Looking forward to part 2.

[@AIBites]

Cheers.. Comments like this keep me going 🙂

[@1981jasonkwan]

Really great introduction! Thank you for making this easy to understand.

[@AIBites]

Glad it was helpful!

[@HcDaN]

這支影片普遍地解釋了 DSPy 的重要事項。先玩過了之後，有一點經驗但是充滿疑問之時，就可以來看看這支影片，解答諸多疑點。

[@ibongamtrang7247]

Really out of my mind. Never think LLM pipelines can be trained and optimized like traditional ML. But on the second thought, the LLM was trained for general tasks, to use LLM in narrow case such as classification, parsing document, etc. We may need DsPy to optimize for the pipeline (instead of spend time and cost, to fine-tuning or prompt engineering) for more accuracy. Thank you for sharing

[@AIBites]

exactly! thats what DsPy is trying to achieve. If well received, then we might move away from prompt engineering altogether! 🙂

[@saadowain3511]

thank you. I have a question ! do we use dspy for development or production ?

[@ctoxyz]

#ai #llm awesome

[@AIBites]

Thank you 🙂

[@Ishant875]

Thank you. Can you share the notebook please?

[@AIBites]

ah sorry, its here: github.com/ai-bites/generative-ai-course/blob/main/dspy_demo.ipynb I will update the video description with the link too. Thanks.

[@phanindraparashar8930]

audio and video out of sync

[@AIBites]

sorry to hear you feel this way. Have had some happy comments and feedback on LinkedIn too :) but will keep it up for next time. YT doesn't allow us to edit already uploaded videos, unfortunately!