In this article, we learn how to craft a customer support chatbot using the latest GPT techniques from simple to complex. We will introduce you to techniques such as embeddings, “few-shot” prompting, vector database, paraphrasing, and intent classification. The article also details the process of scaling the chatbot and supporting contextual answering, appeasing customers, and calling external APIs.
Tags：GPT, Embeddings, Vector Database, Few-shot Prompting, Software Engineering
链接：Crafting GPT-Based Customer Support Chatbot From 0 to 1 — Algorithm Portion