Having grasped the fundamentals of Generative AI and prompt engineering, you are now well equipped to venture into the realm of Gen AI. This course will further provide you with advanced techniques, practical use cases, and additional resources. Remember, the most effective way to master prompt engineering is by experimenting with your own prompts.
In the forthcoming modules, we will dive deeper into the fascinating world of prompt engineering. Here's a brief overview of what's in store:
Applications: This section will demonstrate simple, yet practical applications of prompt engineering, providing you with a practical understanding of its real-world applications.
Intermediate: This module will expose you to moderately complex, research-based prompt engineering techniques. You'll learn how to implement these techniques to improve the performance of your AI models.
Advanced Applications: In this section, we'll explore more powerful and intricate applications of prompt engineering, helping you comprehend its full potential in solving complex problems.
Reliability: This module will concentrate on enhancing the reliability of large language models (LLMs), teaching you techniques to make your AI models more dependable and precise.
Image Prompting: We'll also delve into prompt engineering for text-to-image models, such as DALLE and Stable Diffusion, broadening your understanding of prompt engineering and its diverse applications.
Prompt Hacking: This engaging module will introduce you to the concept of hacking in the context of prompt engineering. You'll learn how to tweak prompts to achieve the desired outcomes.
Tooling: This section will review a variety of prompt engineering tools and IDEs, equipping you with the necessary tools for effective prompt engineering.
Prompt Tuning: Here, we'll discuss how to refine prompts using gradient-based techniques, aiding you in fine-tuning your prompts for optimal results.
Miscellaneous: Lastly, we'll cover an assortment of additional topics and techniques related to prompt engineering, ensuring you gain a comprehensive understanding of the subject.
If you have any questions, take a look at our Vocab page, our FAQ, our ask in our Discord. Fasten your seatbelts and prepare for an exhilarating journey into the world of Generative AI!
Sander Schulhoff is the Founder of Learn Prompting and an ML Researcher at the University of Maryland. He created the first open-source Prompt Engineering guide, reaching 3M+ people and teaching them to use tools like ChatGPT. Sander also led a team behind Prompt Report, the most comprehensive study of prompting ever done, co-authored with researchers from the University of Maryland, OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions. This 76-page survey analyzed 1,500+ academic papers and covered 200+ prompting techniques.