2min chapter

Machine Learning Street Talk (MLST) cover image

#90 - Prof. DAVID CHALMERS - Consciousness in LLMs [Special Edition]

Machine Learning Street Talk (MLST)

CHAPTER

Is Explainability an Easy Performance Hit?

Some of the work we were presenting here is focused on supervising model explanations for tasks. You're trying to get the model to behave in a more human-like way. Get roughly towards aligning its own behavior and reasoning, particularly with human reasoning. This is actually changing the processing in the model. It's making it more and more explainable.

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