Prompt Engineering Training Session
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A Prompt Engineering Training Session is a training session on prompt engineering (to enhance a users' prompt engineering ability).
- Context:
- It can range from being a Brief Training Session to being a Comprehensive Training Session, depending on its session scope.
- It can range from being a Basic Prompt Engineering Session to being an Advanced Prompt Engineering Session, depending on its training content depth.
- It can range from being a Single Training Session to being a Multi Part Training Session, depending on its session duration.
- ...
- It can improve AI System Effectiveness through prompt engineering optimization and prompt engineering input tuning.
- It can enhance Training Session Performance through prompt engineering quality and training session efficiency.
- It can reduce Training Session Errors through prompt engineering error reduction.
- It can deliver Prompt Engineering Knowledge through training session exercises and training session labs.
- It can develop Prompt Engineering Skills through training session expert guidance and training session feedback.
- It can include Training Session Exercises with prompt engineering demonstrations and prompt engineering examples.
- It can feature Training Session Practice for prompt engineering assessment.
- It can provide Training Session Activitys with prompt engineering feedback and training session reviews.
- It can incorporate Prompt Engineering Retainment for prompt engineering refinement and training session adaptation.
- ...
- Example(s):
- Business Prompt Engineering Trainings, such as:
- Educational Prompt Engineering Trainings, such as:
- Technical Prompt Engineering Trainings, such as:
- Optimization Prompt Engineering Trainings, such as:
- Content Prompt Engineering Trainings, such as:
- ...
- Counter-Example(s):
- Untrained Prompt Engineering, which lacks training session structure.
- Generic Training Session, which misses prompt engineering principles.
- Technical Training Session, which lacks prompt engineering focus.
- See: Prompt Engineering Training, Prompt Engineering Training Program, Prompt Engineering Training System, Training Session Design.
References
2024-12-26
- Perplexity.ai
- Question: What is a Prompt Engineering Training and what are its components? Please explain the core components, formats, and typical learning outcomes. Include information about how these programs are structured, their various types, and the target audience.
- Answer: A Prompt Engineering Training is a specialized educational program that teaches individuals how to effectively craft and optimize instructions for generative AI models to produce desired outputs.
- Core Components:
- Fundamental Concepts:
- Understanding of generative AI model capabilities.
- Basic principles of natural language processing.
- Techniques for crafting effective prompts for different AI tools.
- Technical Skills:
- Zero-shot and few-shot prompting.
- Chain-of-thought and tree-of-thought approaches.
- Problem decomposition and prompt optimization.
- Fundamental Concepts:
- Course Formats:
- Self-Paced Online Courses:
- Duration ranges from 1 hour to several weeks.
- Include video lectures, readings, and hands-on labs.
- Feature interactive exercises and quizzes.
- Instructor-Led Programs:
- Direct access to industry experts.
- Real-time feedback and guidance.
- Structured learning environment with deadlines.
- Self-Paced Online Courses:
- Learning Outcomes:
- Participants typically gain:
- Ability to write effective prompts for various AI models.
- Understanding of prompt optimization techniques.
- Skills to apply AI tools in professional contexts.
- Knowledge of best practices and common pitfalls.
- Participants typically gain:
- Target Audience:
- These trainings cater to:
- Developers seeking to integrate AI into applications.
- Professionals aiming to boost productivity with AI tools.
- Business leaders wanting to leverage AI technology.
- Anyone interested in mastering AI communication.
- These trainings cater to:
- Core Components:
- Citations:
[1] https://www.udemy.com/course/prompt-engineering-for-ai/ [2] https://learnprompting.org/blog/prompt_engineering_courses [3] https://www.altexsoft.com/blog/prompt-engineering/ [4] https://promptengineering.org/learn/ [5] https://www.coursera.org/learn/generative-ai-prompt-engineering-for-everyone [6] https://www.datacamp.com/blog/what-is-prompt-engineering-the-future-of-ai-communication [7] https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ [8] https://www.coursera.org/articles/what-is-prompt-engineering [9] https://www.eweek.com/artificial-intelligence/prompt-engineering-courses-free/ [10] https://aws.amazon.com/what-is/prompt-engineering/
2023
- (Dell'Acqua et al., 2023) ⇒ [[::Fabrizio Dell'Acqua]], [[::Edward McFowland III]], [[::Ethan Mollick]], [[::Hila Lifshitz-Assaf]], [[::Katherine C. Kellogg]], [[::Saran Rajendran]], [[::Lisa Krayer]], [[::François Candelon]], and [[::Karim R. Lakhani]]. ([[::2023]]). “Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality.” In: Harvard Business School Working Paper Series.
- QUOTE: "The GPT + Overview treatment consistently exhibits a more pronounced positive effect compared to the GPT Only treatment, underscoring the importance of the added overview in enhancing the efficacy of AI assistance.".
- QUOTE: "Subjects receiving the GPT + Overview treatment showed greater task completion rates and quality improvements, suggesting that even light training interventions can amplify the benefits of AI augmentation.".
- QUOTE: "The training increased ‘retainment’—copying and pasting AI-generated content—which was associated with better performance, indicating that understanding how to refine and adapt AI outputs is critical for achieving higher task quality.".