Welcome đź‘‹

Welcome to the lab “prompt engineering”

In this lab, we will use OpenAI’s API to leverage Large Language Models (LLMs) like GPT-3.5 Turbo and GPT-4 into custom Python applications.

Important

Make sure you meet all the requirements and have read the lecture slides before you start with the assignments

What you will learn in this lab:

  1. You’ll practice prompting principles and their related tactics
  2. How to analyze and refine your prompts to generate marketing copy from a product fact sheet.
  3. Summarize text with a focus on specific topics.
  4. Infer sentiment and topics from product reviews and news articles.
  5. Explore how to use Large Language Models for text transformation tasks such as language translation, spelling and grammar checking, tone adjustment, and format conversion.
  6. Generate customer service emails that are tailored to each customer’s review.
  7. How you can utilize the chat format to have extended conversations with chatbots personalized or specialized for specific tasks or behaviors.

This lab is mainly based on an excellent course provided by Isa Fulford from OpenAI and Andrew Ng from DeepLearning.AI as well as OpenAI’s GPT best practices