This podcast episode explores the concept of flows in chatbot development and how they separate business logic from language understanding capabilities. It discusses the process of building chatbots using Rasa and highlights the advantages of using Rasa for chatbot development. The episode also delves into the role of zero-shot learning in extracting information in conversational AI models and the importance of declaring variables and types. Additionally, the episode covers the concept of branching logic in conversation flows and the challenges faced by conversational AI platforms in representing business logic and conversation paths. The use of Language Learning Models (LLMs) and CALM is proposed as a solution to improve the efficiency and clarity of chatbot development.
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