The Art of Prompt Engineering

This project explores the science of prompt engineering using AI models. It demonstrates its significance in AI tools such as chatbots and content generators, as well as its potential to increase productivity in businesses. The project also explores methods for creating efficient prompts and illustrates the principles behind them by presenting an Python project focusing on survival analysis. This project is a deep dive into the realm of AI and provides insights on how to make the most of the potential of language models to achieve best outcomes. The book introduces rapid engineering using the most advanced AI tool, Langchain. Rapid engineering using AI models, particularly ChatGPT is an intriguing and important topic in the current AI-driven society. It is the foundation of many AI tools, such as chatbots and content generators that are changing the way companies operate. Through this project participants will develop an understanding of how to create efficient instructions to AI models, which will enhance their capacity to develop more effective and efficient AI tools.In the course, we'll delve into the methods to prompt engineering and illustrate the principles in an Python project focusing on survival analysis. What you will be able to learn and accomplish after the completion of this project: 1. Learn about the concept of prompt engineering, and it's significance in AI models such as ChatGPT. You'll be able to design efficient prompts that will dramatically enhance the performance of AI tools.2. Utilize the concepts of prompt engineering to an actual project involving survival analysis with Python. You'll get hands-on experience the implementation of these strategies that will help you improve your abilities in AI as well as data analysis.3. Learn about rapid engineering with the Langchain library.BM offers a special deal for watsonx.ai which is a studio that develops the development of new base models and generative AI, and machine learning. To avail this deal, visit .