https://ift.tt/q12WmgY Traditionally, analyzing large volumes of user feedback, often presented as open-ended text (verbatim feedback), has...
Traditionally, analyzing large volumes of user feedback, often presented as open-ended text (verbatim feedback), has been a cumbersome task. Existing methods rely heavily on human labeling of data to train machine learning models. This not only requires significant time and resources but also limits the model’s ability to adapt to new situations or handle complexities […]
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https://www.analyticsvidhya.com/blog/2024/03/microsoft-introduce-allhands-llm-framework-for-large-scale-feedback-analysis/
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