Balancing Speed and Safety // Panel // AIQCON
MLOps.community
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Navigating Safety in Machine Learning Development
This chapter explores the critical importance of safety and risk management in developing machine learning models, particularly large language models. It emphasizes the need for diverse perspectives in identifying potential harms and stresses the balance between speed and safety in product development. Through various examples, it illustrates the complexities of risk assessment across different industries and the necessity of thoughtful frameworks to mitigate risks effectively.
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