_:n957e88cc5a4145e58e55f08b1eeece54xb1
<http://schema.org/text>
"<p>摘要：<br>\nIn 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.</p> \n\n<p>Tags：GPT, Embeddings, Vector Database, Few-shot Prompting, Software Engineering</p>\n\n<p>阅读时长：10mins</p>\n\n<p>链接：<a href=\"https://clean99.github.io/2023/06/10/Crafting-GPT-based-Customer-Support-Chatbot-Algorithm/\" rel=\"ugc noopener nofollow\" target=\"_blank\" rel=\"ugc noopener nofollow\" target=\"_blank\">Crafting GPT-Based Customer Support Chatbot From 0 to 1 — Algorithm Portion</a></p>"
<https://0xffff.one/d/1549/8>