Why You Need a Large Language Model for Intent Recognition

Cohere is advancing the accessibility of large language models (LLMs) for enterprises, emphasizing their utility in customer support to accurately identify and address customer intent. These models, traditionally the domain of tech giants like Google and Facebook due to their high training and operational costs, are being democratized by Cohere to enhance natural language processing (NLP) tasks such as intent recognition. A notable demonstration of Cohere's capabilities involved outperforming existing NLP models using the Banking77 dataset, which includes over 13,000 banking queries categorized into 77 distinct intents. The company offers tools that allow developers to finetune LLMs for specific tasks, aiming to improve the efficiency and accuracy of customer interactions without human intervention.