The Role of ML Engineers in the Era of GPT-4 and BARD

Explore the evolving role of data scientists and machine learning engineers in the era of advanced Large Language Models like GPT-4 and BARD in this insightful 23-minute talk by Hannes Hapke at the LLMs in Prod Con. Examine the impact of APIs from major tech companies on democratizing machine learning access and potentially replacing certain ML projects. Learn to apply a framework for evaluating whether third-party APIs could substitute your current machine learning initiatives, and understand how to assess these APIs in terms of data privacy and AI bias. Gain valuable insights into future-proofing your machine learning skills and adapting to the rapidly changing landscape of AI technology. Benefit from Hannes' extensive experience as an ML engineer at Digits and his expertise in building ML pipelines, scaling similarity-based ML for processing millions of banking transactions, and implementing ML solutions across various industries.

What is the role of ML Engineers in the time of GPT4 and BARD? // Hannes Hapke // LLMs in Prod Con