From NLP to LLMs: The Quest for a Reliable Chatbot
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Evolution of Rasa and Chatbot Technology
This chapter examines the history and development of Rasa, an open-source library for natural language understanding, focusing on the limitations of traditional classification methods and the advancements brought by large language models. It discusses the challenges of integrating these models into existing chatbot frameworks, particularly within industries like airlines, while highlighting practical strategies such as retrieval augmented generation. The chapter emphasizes the need for a structured approach to leverage years of conversation data to create more flexible and effective conversational systems.
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