Machine Learning Street Talk (MLST) cover image

Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)

Machine Learning Street Talk (MLST)

NOTE

Universal Robustness in Model Instructions

Models may have quirks due to different training data, but they should generally be robust in following instructions universally. The goal is to have prompts work seamlessly across all systems, but currently, prompts that work on one system might fail on another, creating barriers between systems. Efforts are being made to enhance robustness through data augmentation, particularly by using synthetic data to identify and address prompt-related model failures.

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