Leveraging error-assisted fine-tuning large language models for manufacturing excellence.
Liqiao XiaChengxi LiCanbin ZhangShimin LiuPai ZhengPublished in: Robotics Comput. Integr. Manuf. (2024)
Keyphrases
- language model
- fine tuning
- language modeling
- probabilistic model
- n gram
- language modelling
- viable alternative
- retrieval model
- fine tune
- document retrieval
- information retrieval
- query expansion
- speech recognition
- error rate
- document ranking
- smoothing methods
- language model for information retrieval
- test collection
- relevance model
- fine tuned
- statistical language models
- ad hoc information retrieval
- language models for information retrieval
- pseudo relevance feedback
- vector space model
- clustering algorithm
- word error rate
- active learning