Develop Your Prompt Engineering Skills

Übersicht

Prompt engineering is essential for effective communication with AI models. Every day, more and more professionals are working with language models, making prompt engineering a vital skill for the future of work.

In this learning path, you'll learn how language models work, how to interact with them, and how to fine-tune your skills with advanced techniques. Unlock the gates to seamless interaction with large language models today.Develop effective prompt engineering skills.Practice working with large language models.Explore advanced prompt engineering concepts.Apply prompt engineering to improve productivity.

Lehrplan

• Introduction to Language Models
Overview of language models and their applications
History and evolution of language models
Introduction to key language models (e.g., GPT-3, GPT-4)
• Basics of Prompt Engineering
Understanding prompts and their importance
Crafting basic prompts effectively
Common pitfalls in prompt engineering
• Interaction with Language Models
Best practices for testing prompts
How to interpret and refine AI responses
Experiments with different prompt styles
• Fine-Tuning Prompts for Specific Outcomes
Techniques for iterative prompt refinement
Using examples and context to guide responses
Handling ambiguity and open-ended tasks
• Advanced Prompt Engineering Techniques
Exploring conditional prompting
Leveraging temperature and top-k settings
Building complex and multi-step prompts
• Prompt Engineering for Productivity
Automating workflows with language models
Customizing prompts for specific professional applications
Case studies of successful prompt engineering
• Ethical Considerations and Challenges
Understanding biases and limitations of language models
Strategies for ethical prompt engineering
Ensuring privacy and data security
• Hands-on Projects and Practice
Real-world scenarios and practice exercises
Peer collaboration and feedback sessions
Projects demonstrating prompt engineering mastery
• Conclusion and Next Steps
Recap of key concepts
Resources for continued learning and development
Future trends in prompt engineering and AI interaction

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Unterrichtet von

Ronnie Sheer, Xavier (Xavi) Amatriain, Ray Villalobos, Morten Rand-Hendriksen, Dave Birss, Maven Analytics and Microsoft Learn

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Fachgebiete

Computer Science