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Data Intensive AI - Bartosz Mikulski

DataTalks.Club

CHAPTER

Navigating AI and Data Engineering

This chapter explores the crucial intersection of data engineering and AI, particularly emphasizing the role of Spark in modern data processing and the significant influence of data engineers in AI pipelines. The speaker shares their journey from backend engineering to a focus on machine learning operations, highlighting the real-world applications and challenges of integrating AI within data practices. The discussion also delves into effective prompting techniques for AI models, including the evolution and cost efficiency of prompt engineering and caching strategies.

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