How can we influence quality during the prompt creation stage, as well as how to work with already-generated text—improving it, identifying errors, and filtering out undesirable results. We'll explore linguistic approaches that help achieve better, more controlled outcomes from LLMs.
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Speaker
Lera Lakusta
1
talks
computational linguist
Grammarly
Computational linguist at Grammarly. Focuses on improving quality of LLM outputs and applying linguistic approaches to prompt design and postprocessing.
Bio from: How We Build High-Quality, User-Oriented LLM Features at Grammarly
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