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Learn prompt engineering best practices for application development. Discover new ways to use LLMs, including how to build your own custom chatbot. Gain hands-on practice writing and iterating on prompts yourself using the OpenAI API. Learn for Free. What you’ll learn in this course.
Discover the best courses to build a career in AI | By Andrew Ng | Whether you’re a beginner or an experienced practitioner our world-class curriculum and unique teaching methodology will guide you through every stage of your AI journey.
This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including: - Summarizing (e.g., summarizing user reviews for brevity) - Inferring (e.g., sentiment classification ...
May 3, 2023 · Expanding, such as using a short prompt to generate a custom email; We also cover how to build a custom chatbot and show how to construct API calls to build a fun pizza order-taking bot. In this course, we describe best practices for developing prompts.
What you'll learn. How to apply prompt engineering to effectively work with large language models, like ChatGPT. How to use prompt patterns to tap into powerful capabilities within large language models. How to create complex prompt-based applications for your life, business, or education.
May 2, 2023 · Andrew Ng and Isa Fulford. Learn prompt engineering best practices for app development, explore innovative LLM usage, including custom chatbot creation, and gain hands-on experience in writing and refining prompts with the OpenAI API.
Jun 20, 2023 · 1. Prompting principles. — Write clear and specific instructions. — Give the model time to think. 2. Iterative prompting. 3. Summarizing the Text (e.g., summarizing user reviews for brevity) 4....
ChatGPT Prompt Engineering for Developers. Introduction. Guidelines. Iterative. Summarizing. Inferring. Transforming. Expanding. Chatbot.
Prompt Engineering is the process of creating effective prompts for ChatGPT to generate high-quality responses. It involves iterative, summarizing, transforming, inferring, and expanding techniques. Iterative Prompts
This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including:
