Enhancing AI Capabilities with Taxonomy Augmented Generation: A Case Study with Gradebot
- Neena Sathi
- Mar 6
- 1 min read
Artificial intelligence (AI) continues to evolve, offering innovative solutions to complex problems across various domains. One emerging technique that promises to enhance AI's accuracy and relevance is Taxonomy Augmented Generation (TAG). TAG involves creating specialized taxonomies that reflect nuanced knowledge in various fields, which can then be used to guide AI systems in generating more precise and meaningful outputs. This article explores the concept of TAG and illustrates its practical application through a case study involving Gradebot.
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