Logo for AiToolGo

Mastering Prompt Engineering: Your Guide to AI Safety and Practical Applications

In-depth discussion
Technical yet accessible
 0
 0
 84
This course on prompt engineering emphasizes practical techniques for effectively communicating with AI. It is designed for learners with a basic understanding of machine learning, offering iterative updates and community feedback mechanisms. The course is structured into various levels, from basic to advanced applications, and includes a focus on reliability and innovative prompting techniques.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes

  • • main points

    • 1
      Focus on practical application of prompt engineering techniques
    • 2
      Iterative updates based on community feedback
    • 3
      Structured content catering to different skill levels

  • • unique insights

    • 1
      Emphasizes the importance of community interaction for course improvement
    • 2
      Offers a unique approach to teaching prompt engineering through real-world examples

  • • practical applications

    • The course provides actionable techniques that learners can immediately apply in their AI projects, enhancing their ability to interact with AI tools effectively.

  • • key topics

    • 1
      Prompt Engineering Basics
    • 2
      Intermediate Prompt Techniques
    • 3
      Advanced Applications of Prompting

  • • key insights

    • 1
      Community-driven course updates and feedback
    • 2
      Comprehensive coverage of prompt engineering techniques
    • 3
      Focus on practical, real-world applications

  • • learning outcomes

    • 1
      Understand the fundamentals of prompt engineering
    • 2
      Apply advanced prompting techniques in real-world scenarios
    • 3
      Engage with a community for continuous learning and feedback
examples
tutorials
code samples
visuals
fundamentals
advanced content
practical tips
best practices

“ Introduction to Prompt Engineering

The course is built on a philosophy of rapid iteration and practical application. Given the fast-paced nature of AI developments, we will frequently update the course with new techniques and insights. Your feedback is invaluable in this process, and we encourage you to share your thoughts and suggestions.

“ Course Structure

Throughout the course, we will focus on practical techniques that you can implement immediately. Examples will be provided to illustrate concepts, allowing you to grasp the application of PE in real-world scenarios.

“ Feedback and Community Engagement

As you progress, you will encounter advanced techniques in PE, including methods for enhancing the reliability of large language models (LLMs) and applying PE to text-image models like DALL-E and Stable Diffusion.

 Original link: https://learnprompting.org/fr/docs/introduction?srsltid=AfmBOoqR5LRB4WGkKeJgC7ViVCK1qzATgbbsTUb5v0hZlmmzZai-9fA2

Comment(0)

user's avatar

      Similar Learning

      Related Tools