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Found 3 papers, 1 papers with code
Keeping Experts in the Loop: Expert-Guided Optimization for Clinical Data Classification using Large Language Models
Current methods to address this gap take either a manual prompt refinement approach, where domain experts collaborate with prompt engineers to create an optimal prompt, which is time-intensive and difficult to scale, or through employing automatic prompt optimizing approaches, where the value of the input of domain experts is not fully realized.
Distributed Monitoring for Data Distribution Shifts in Edge-ML Fraud Detection
The digital era has seen a marked increase in financial fraud.
Monitoring and Adapting ML Models on Mobile Devices
ML models are increasingly being pushed to mobile devices, for low-latency inference and offline operation.
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