Dataset Engineering: The Art and Science of Data Preparation
Notes on dataset engineering from Chip Huyen's 'AI Engineering', covering data curation, quality, coverage, quantity, and acquisition for AI models.
Notes on dataset engineering from Chip Huyen's 'AI Engineering', covering data curation, quality, coverage, quantity, and acquisition for AI models.
A reflection on how LLMs have simplified AI prototyping compared to traditional ML, but may lead to similar deployment disappointments.
Part 2 of a series on building a product classification API, focusing on data cleaning, preparation, and measuring data purity for machine learning.