user
How did the project incorporate AI-driven features to enhance the chatbot's functionality?
assistant
The project incorporated several AI-driven features to enhance the chatbot's functionality. These include the use of Large Language Models (LLM) for natural language understanding and generation, which allowed the chatbot to interpret nuanced questions and provide human-like responses. Natural Language Processing (NLP) techniques were employed to improve the chatbot's ability to understand and process user queries. Additionally, sentiment analysis was integrated to detect user frustration or dissatisfaction, triggering escalation protocols when necessary. These AI-driven features collectively contributed to a more intelligent and responsive chatbot. John enhanced the chatbot's functionality by incorporating AI-driven features such as Large Language Models for natural language understanding, NLP techniques for query processing, and sentiment analysis for detecting user frustration. These features collectively created a more intelligent and responsive HR support system.