An LLM agent reads past loss weights and quality scores, then writes new loss weights, letting image processing models be trained toward non-differentiable objectives like IQA scores and text feedback.
Language models are few-shot learners
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LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents
An LLM agent reads past loss weights and quality scores, then writes new loss weights, letting image processing models be trained toward non-differentiable objectives like IQA scores and text feedback.