Chatbots have evolved far beyond simple question-and-answer tools, leveraging large language models (LLMs) to understand conversation context and generate human-like responses.
LangChain provides essential tools for building conversational chatbots, focusing on seamless model integration, context management, and effective prompt engineering, simplifying the development process.
LLM-based chatbots maintain coherence across exchanges by considering the conversation's context, enabling them to process complex queries and produce relevant outputs.
Because chatbots can assess the emotional tone of user input, they adjust their responses, making interactions feel more personalized and improving overall user satisfaction.
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