Prompt Engineering Best Practices: Building an End-to-End Customer Service System

Author(s): Youssef Hosni

Originally published on Towards AI.

Prompt engineering plays a pivotal role in crafting queries that help large language models (LLMs) understand not just the language but also the nuance and intent behind the query and help us build complex applications with ease.

In this article, we will put into action what we covered in previous articles and build an end-to-end customer service assistant. Starting with checking the input to see if it flags the moderation API then extracting the list of products searching for the products the user asked about answering the user question with the model and checking the output with the moderation API.

Finally, we will put all of these together and build a conversational chatbot that takes the user input passes it through all of these steps, and returns it back to him.

Setting Up Working EnvironmentChain of Prompts For Processing the User QueryBuilding Conversational Chatbot

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Published via Towards AI