How to Build a Customer Support Chatbot with LangChain and DeepInfra: A Step-by-Step Guide - podcast episode cover

How to Build a Customer Support Chatbot with LangChain and DeepInfra: A Step-by-Step Guide

Jun 11, 20235 min
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Episode description

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-a-customer-support-chatbot-with-langchain-and-deepinfra-a-step-by-step-guide.
You might have come across chatbots in your daily interactions online, but have you ever considered the tech that powers these digital helpers?
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #artificial-intelligence, #langchain, #llm, #guide, #python, #chatbot, #tutorial, and more.

This story was written by: @mikeyoung44. Learn more about this writer by checking @mikeyoung44's about page, and for more stories, please visit hackernoon.com.

Chatbots have become a staple in modern businesses, enhancing customer service while boosting efficiency. When developing a responsive and effective chatbot, three elements are essential: the model, Prompt template, and memory. We will walk through the process of building a customer support chatbot with LangChain and DeepInfra. We’ll pretend that this chatbot “works” at an online clothing store.

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