Description
In this session, we will cover how chatbot frameworks work using "Rasa", an open source chatbot framework in Python, and "LangChain", an open source framework that helps build LLM applications easily. Chatbots need to perform tasks such as "intent classification" to identify the intent of a user's utterance, "entity recognition" to identify necessary information from the user's utterance, and "slot filling". In addition, they need to generate appropriate responses from the classified intents, and they need to know how to deal with sudden changes in the user's utterance intent. In this session, we will look at how Rasa handles these problems. We will also briefly cover how to build a Chit-Chat application using LangChain, which helps build LLM applications easily.
Seongbin Cho Hello. I am Seongbin Cho, who loves Python. I majored in humanities, but I learned about the field of natural language processing late and fell in love with development. Thanks to many people who share their knowledge, I am able to keep moving forward day by day without giving up. I don't take for granted what I've received, and I hope it can be of some help to others.