π Data curation is the real backbone of AI success. π
In machine learning, choosing a model is importantβbut itβs the data that makes or breaks your project. The biggest gains come from continuous refinement of both data and models, driven by experts who understand the domain and the nuances of the task.
In my latest blog, I dive into why data curation is neither automatable nor outsourceable and how it defines the success of your AI projects. I provide a rigorous definition of data curation, discuss why it requires human expertise in domain and in ML, and provide a thorough discussion of bias in data curation.
Read more: https://medium.com/@jasoncorso/data-curation-the-beast-behind-every-ai-model-d136eac4da6b
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