Which mode is focused on enhancing the precision of entities?

The mode that is focused on enhancing the precision of entities is centered around activities aimed at improving how accurately the AI model identifies specific pieces of information from the input data. This involves refining the model's understanding of what constitutes an entity within a given context.

When working with named entities, the goal is to ensure that the AI can correctly distinguish and classify these entities based on the training data it has been exposed to. By utilizing a mode specifically designed for checking entities, users can validate the performance of the model against real-world examples. This allows for adjustments and improvements to be made, ensuring that the system becomes more adept at recognizing the intended entities over time.

The other modes, while they have their uses, do not directly target the enhancement of entity precision. They may focus on labeling tasks or handling inconsistencies but do not provide the same level of direct engagement with the fine-tuning of entity recognition.