An LLM pipeline using LLMOps tooling classified exercise posts, predicted durations, and estimated calories on a 133-member Facebook exercise community, reporting 95-96% classification accuracy and 72-89% accuracy for the other two tasks under a loosely defined tolerance.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.QM 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Intelligent Exercise and Feedback System for Social Healthcare using LLMOps
An LLM pipeline using LLMOps tooling classified exercise posts, predicted durations, and estimated calories on a 133-member Facebook exercise community, reporting 95-96% classification accuracy and 72-89% accuracy for the other two tasks under a loosely defined tolerance.