Prompt Engineering 2.0

The course deepens your knowledge of prompt engineering and shows you how to effectively apply advanced techniques such as chain-of-thought and chain-of-density. You will also learn about the importance of tokens and context windows and how to set up custom instructions in ChatGPT.
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📚 Course content

This comprehensive course is specifically designed for those who want to expand their knowledge in the area of prompt engineering for language models. You will gain deep insights into the key concepts and methods required to use language models more effectively. We will cover specific prompting methods such as chain-of-thought and chain-of-density, explore the role of tokens and the context window, and discuss how custom instructions can influence the behavior of ChatGPT. Another important part of the course is devoted to problem formulation, which is becoming increasingly important as the capabilities of language models advance. This course is ideal for anyone working in technical or creative professions who wants to improve their skills in communicating with AI systems. You will learn:

  • Introduction to advanced prompting methods: learn how chain-of-thought and chain-of-density work and how to apply them.
  • Deepen your knowledge of tokens and context windows: Understand the technical fundamentals that are essential for effective prompt engineering.
  • Applying Custom Instructions in ChatGPT: Learn how to configure ChatGPT with specific instructions for better results.
  • Importance of Problem Formulation: Develop skills in precise problem formulation to maximize the power of language models.

📖 Chapters in this course