How to improve the recognition rate of AI Agent for professional terms

Improving AI Agent recognition of professional terms is achievable through targeted strategies. Enhancing domain-specific understanding reduces errors and boosts reliability.

Key approaches include enriching training data with domain documents, incorporating context-aware learning models, and implementing continuous feedback mechanisms. Maintaining an updated terminology database and defining term relationships helps resolve ambiguity. Ensure training encompasses diverse phrasing and edge cases specific to the domain.

Begin by curating a comprehensive glossary of critical terms and sourcing specialized corpora. Integrate this domain data into the agent's fine-tuning or embedding processes. Establish validation procedures where domain experts test recognition and provide corrections. Regularly retrain models on new data and refine definitions based on usage patterns to sustain and enhance accuracy over time.