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#300 End to End AI Application Development with Maxime Labonne, Head of Post-training at Liquid AI & Paul-Emil Iusztin, Founder at Decoding ML

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Understanding the RAG Feature Pipeline in Machine Learning Workflows

This chapter highlights the critical role of planning in developing machine learning systems, stressing the necessity of thoroughly understanding the problem before coding begins. It delves into the RAG feature pipeline, outlining its operations like data cleaning and storage in VectorDB to enhance efficiency in feature extraction and answer generation.

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