Understand DSPy: Programming AI Pipelines

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The origin and evolution of DSPy: Programming AI Pipelines introduces the idea, its link to ColBERT v2, retriever models, modular pipeline generation, descriptive programming, the evolution and the use case of DSPy (DSPy == Declarative Self-improving Language Programs, pythonically).

Q answered: Is DSPy only a Prompt Engineering optimization?
Q answered: Is DSPy expensive for my AI pipeline optimization?
Q answered: Can I substitute DSPy with a simple many-shot In-Context Learning prompt?

#airesearch
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Top tier high-level presentation of the amazing DSPy vs ICL, this will help me a lot in my current line of work, keep it up!

JosepOriol
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Nice! please explain about ReAct and also having different modules. Like ReAct and ChainOfThoughts together,

amirhosseinteymoori
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Good info, but a bit too much slide-reading and not enough graphs or going over the code. I've been meaning to replace pure RAG in my pipeline with DSPy, but I haven't found any examples of how to actually do this.... and I'm just a bit afraid of touching this can of worms just yet before seeing someone else do the same. :D

ruslan.vasylev
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Thanks for the presentation! it helps a lot for the milvus community

RentongGuo-cdgq
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What about release some code with your videos as well?

DannyGerst
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Thanks for the presentation! Any plans to make a demo?

StoianAtanasov
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You continue to stay one step ahead of me. Thank you so much!

densonsmith