Intro to DSPy: Goodbye Prompting, Hello Programming!

#llm #chatgpt #ai #python #automation #rag #technology #datascience
DSPy is a framework developed by Stanford University that can automatically optimize LLM prompts and weights.
Timestamps:
00:00 - intro
01:19 - What is DSPy
02:03 - WorkFlow
03:45 - What makes DSPy unique?
04:10 - Modules
04:32 - Optimizers
05:23 - Signature
05:42 - Langchain Vs Llamaindex Vs DSPy
06:06 - Code Example
11:13 - Disadvantage and advantage
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[Link Used]
Dspy Doc: dspy-docs.vercel.app/
Github : github.com/stanfordnlp/dspy
medium: towardsdatascience.com/intro-...
Source Code: Coming Soon

[@kingofasia0]

The code is much better here than where i was looking before on a other youtuber ! Good Job

[@GaoDalie_AI]

Thank you , the upcoming videos will be better

[@joancarles3410]

Thank you so much. I look forward to the code for an old apprentice

[@GaoDalie_AI]

thank you for watching , please i have include the code on my personal website

[@veryVANYA]

have you integrated this to fabric?

[@GaoDalie_AI]

No, I haven't integrated with Fabric. I will see if it is possible to integrate with Fabric

[@PRColacino]

Gao good videos! In your blog, there is some incorrect information: GROP. instead of GROQ (correct) ;)

[@GaoDalie_AI]

Thank you for watching , i will correct it

[@attilavass6935]

The creators of DSPy pronounce it differently. Otherwise: great video as usual :)

[@GaoDalie_AI]

Thank you for watching , i am investing on my RUclips to provide better content