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Cohere co-founder Nick Frosst on building LLM apps for business
Machine Learning Street Talk (MLST)
Balancing Ethical Considerations with Model Performance in AI Development
The speaker emphasizes the importance of considering ethical implications in AI development, even if it means compromising on headline metrics. It is crucial to prioritize fairness in model deployment, ensuring that businesses can confidently use the models. The shift from building custom machine learning models to focusing on foundation models and LL ops indicates a move towards a more software engineering-centric approach, although the significance of data science is still acknowledged.
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