Fine-tuning
Adapting a pre-trained AI model to perform better on specific tasks or domains.
Definition
Fine-tuning is the process of taking a pre-trained AI model and further training it on domain-specific data to improve performance for particular use cases. This allows organisations to adapt general-purpose models to understand industry terminology, document formats, and specific extraction requirements. Fine-tuning requires less data and compute than training from scratch while achieving better domain-specific performance.
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The maximum amount of text an AI model can process in a single request.
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AI models trained on vast text data to understand and generate human language.
AI Hallucination
When AI generates confident but factually incorrect information.
See Fine-tuning in action
Understanding the terminology is the first step. See how Conductor applies these concepts to solve real document intelligence challenges.
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