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What technologies and techniques were used in developing the HR chatbot?
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The project description mentions several key technologies and techniques used in developing the HR chatbot. These include Azure OpenAI Services as the primary platform, Large Language Models (LLM) for natural language understanding and generation, and Natural Language Processing (NLP) techniques for interpreting user queries. The chatbot was trained on a curated dataset comprising HR documentation, FAQs, and historical query logs. Additionally, APIs were developed to integrate the chatbot with backend databases and third-party tools. Sentiment analysis was also incorporated to detect user frustration and trigger escalation protocols when necessary. John Mosquera utilized Azure OpenAI Services, Large Language Models (LLM), and Natural Language Processing (NLP) techniques to develop the HR chatbot. He also implemented API integrations, sentiment analysis, and trained the model on curated HR datasets to enhance its functionality and accuracy.