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POLICY UPDATE: Senior leaders from the world’s leading research..
Prompt Engineering for AI and Natural Language Models
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Course Content
Introduction to Prompt Engineering
What is Prompt Engineering?
Overview of Language Models
Applications of Prompt Engineering
Overview of Prompt Engineering
Basics of NLP and AI Models
Introduction to AI Platforms for Prompt Engineering
Foundational Concepts in Prompt Engineering
Understanding Prompts
Basic Prompting Techniques
Prompting Strategies for Different Tasks
Intermediate Prompt Engineering Techniques
Advanced Prompt Construction
Controlling Model Output
Few-Shot and Zero-Shot Learning with Prompts
Understanding Language Models
Popular Language Models
Capabilities and Limitations
Crafting Effective Prompts
Basic Prompt Design Principles
Techniques for Prompt Crafting
Contextual Considerations
Advanced Prompt Engineering Techniques
Recursive Prompting and Meta-Prompting
Multi-Step Prompt Engineering
Customizing Models with Fine-Tuning
Prompt Engineering Strategies
Controlling Model Outputs
Evaluation and Iteration
Evaluating and Testing Prompt Performance
Metrics for Evaluating Prompts
A/B Testing and Experimentation
Debugging and Iteration
rompt Engineering for Specific Use Cases
Prompt Engineering in Conversational AI
Prompting for Creative Applications
Prompt Engineering for Data Analysis
Chatbot and Conversational Agents
Content Generation
Data Analysis and Insight Generation
Ethical Considerations in Prompt Engineering
Ethics of AI and Prompt Engineering
Bias and Fairness
Transparency and Accountability
Safety and Security in Prompt Engineering
Responsible AI Use and Guidelines
Tools and Platforms for Prompt Engineering
Overview of Prompt Engineering Tools
Using APIs for Prompt Engineering
Development Environments
Exam Preparation and Capstone Project
Key Concepts Review
Capstone Project
Practice Exams and Feedback
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