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Is your enterprise data 'Gen AI' ready? Generative AI is poised to revolutionize the #enterprise landsacpe, but its success hinges on one crucial factor: #data. This article dives deep into data readiness, exploring challenges like bias and token limits, and unveils effective preparation techniques. Read along for an in-depth analysis. Ambikeshwar Singh #GenerativeAI #DataReadiness #AIDevelopment #Enterprisedata https://lnkd.in/diypm8KE

Achieving Data Readiness for Generative AI - A Comprehensive Approach

Achieving Data Readiness for Generative AI - A Comprehensive Approach

medium.com

Amit M.

Solution Architect | Catalyst | Cloud | GenAI | MLOps (Opinions are solely mine)

7mo

Well put! It is not always 'more the better' in contrast to popular opinion. Recent models like Phi-2 clearly demonstrate that quality of data matters a lot and can save significant burning of resources and unnecessary 'after-toil' for damage control. Simple is small is better than large and ugly. Unfortunately there is still so much hype about how many billion params a model has! Hope to see rationalization soon with practical insights from the trenches and not just 'lab reports'. Well put by Microsoft in their Phi2 release - Textbooks is all you need 😊

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