#artificialintelligence #100: How would a copilot first approach look like if we started with a generative / assisted strategy ?
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welcome to #artificialintelligence #100
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I have been impressed by the Microsoft 365 copilot (
https://lnkd.in/eR7pQUZ3 ) and what it means for the future of AI - especially the possibility of making AI inclusive. I think most people would agree that LLMs are a game changer. Inspired by a post from???Jepson Taylor ?(shared by?Bronia Anderson-Kelly )
I am trying to create an overall thesis / workflow for the new way of working with AI. We can call it low-code but the primary motivation is that its driven by LLMs
So in this context
If we started with a generative / assisted strategy first how would the development world look like?
We first look at modalities of data(tabular, language and image)
And then how these can be effectively made to be low code driven by LLMs (effectively a copilot first approach)
1)?Start with domain knowledge
2)?Use GPT-4 to summarise ideas and to create new suggestions
3)?Define a validation criteria - (how do you know what success looks like)
4)?Generate code using co-pilot, prompt engineering and fine tuning strategies
5)?Validate output as per criteria
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The overall picture looks like below
Notes
a) automl as it stands is largely not LLM driven - but there is some work in this area also?https://lnkd.in/e57y9bMV
b) the word LLM also is a bit dated (already) since?GPT-4 is more than a language model
c) This does not replace all forms of development ex using traditional python etc - but it is a major shift
d)?The capabilities of copilot and LLMs to generate code are indeed very impressive as you see below
KdNuggets chatGPT for data science cheat sheet https://lnkd.in/e8ev2SGT
copilot for datascience?review https://lnkd.in/eTEWdxbc
How ChatGPT Helps You To Automate Machine Learning https://lnkd.in/eTc_qSSA
ChatGPT can solve simple machine learning tasks as classification and categorization https://lnkd.in/etBGEpdP
e) GPT can be discriminative i.e. if you ask it a question that needs a specific response (in contrast to other values), it can do so as well.
f)?https://lnkd.in/eV5QYJyV ?is a good link
I was inspired by this?post also ie to rethink education an the wold of work?(https://lnkd.in/exBm2kEE )
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Owner en INSPELECT, MORENO A&P
1 年?? Episode!! ??
MSc, DIC, MBCS | Xbox Accessories Firmware | Microsoft | ex-Apple | ex-Palm
1 年Ajit many congrats on the 100th edition of this superb resource!
Ajit! CONGRATULATIONS on reaching 100 posts. This is a major success. Let's drive to 200 now!
SensAE are better than IoT projects; mature with connection, communication, contextualization, collaboration, causation, conceptualization and cognition into Sensor Analytics Ecosystems
1 年Congratulations on the 100th episode of this newsletter. In regard to using these types of models, shouldn’t we be demanding transparency about the architecture and training sets being used? Shouldn’t we be considering the cultural, regulatory, economic, political and environmental impacts before accepting these models as positive future directions?
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1 年Thank you sharing