Responsible AI Development
Tim and Eric discuss the myth of democratization in AI, emphasizing the need for engineering rigor in machine learning processes. They caution against blindly using automated ML tools, highlighting the importance of understanding models to prevent potential risks in production.In this clip
From this podcast
Machine Learning Street Talk (MLST)
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Related Questions
What problems do developers face when building AI applications?
What problems do developers face when building AI applications as discussed in the episode SE Radio 610: Phillip Carter on Observability for Large Language Models and the clip Embracing New Practices?
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