For beginners, we recommend starting with the main prompting techniques before exploring these specialized approaches.
Advanced Techniques
Explore these specialized prompting techniques to handle complex scenarios and push the boundaries of what’s possible with LLM applications.Constitutional AI
Implement AI safety principles and ethical guidelines directly into your prompts
Template-Based Prompting
Create structured, reusable prompt templates for consistent AI interactions
Meta Prompting
Use AI to generate and optimize prompts automatically for better performance
Retrieval-Augmented Generation
Enhance AI responses by incorporating external knowledge sources and databases
Multi-Modal Prompting
Work with text, images, and other data types in unified AI interactions
Socratic Questioning
Guide AI to deeper understanding through systematic inquiry and questioning
Analogical Reasoning
Leverage comparisons and analogies to improve AI problem-solving capabilities
Iterative Refinement
Progressively improve AI outputs through cycles of feedback and enhancement
Constraint-Based Prompting
Define specific boundaries and limitations to guide AI behavior and outputs
Emotional Intelligence Prompting
Incorporate emotional awareness and empathy into AI interactions
Adversarial Prompting
Test and strengthen AI systems against potential misuse and edge cases
Contextual Memory
Manage long-term context and memory across extended AI conversations
These techniques can be combined with the main prompting approaches for even more powerful results. Experiment with different combinations to find what works best for your specific use case.