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😃 الأساسيات🟢 Starting Your Journey

Starting Your Journey

🟢 This article is rated easy
Reading Time: 2 minutes
Last updated on August 7, 2024

Sander Schulhoff


Takeaways
- Start your journey in Generative AI

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.

Upcoming Modules

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

Sander Schulhoff is the CEO of HackAPrompt and Learn Prompting. He created the first Prompt Engineering guide on the internet, two months before ChatGPT was released, which has taught 3 million people how to prompt ChatGPT. He also partnered with OpenAI to run the first AI Red Teaming competition, HackAPrompt, which was 2x larger than the White House's subsequent AI Red Teaming competition. Today, HackAPrompt partners with the Frontier AI labs to produce research that makes their models more secure. Sander's background is in Natural Language Processing and deep reinforcement learning. He recently led the team behind The Prompt Report, the most comprehensive study of prompt engineering ever done. This 76-page survey, co-authored with OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions, analyzed 1,500+ academic papers and covered 200+ prompting techniques.