Prompting Techniques
Master advanced prompting methods for better AI responses
Ask the model directly without providing examples — the simplest prompting technique
Learn how step-by-step reasoning improves AI accuracy on complex problems
Show the AI exactly what you want with well-crafted examples
Generate multiple responses and pick the most reliable one
Explore different solution paths like a tree of possibilities
Learn how to make LLM generate and optimize its own prompts
Learn how models can check their own answers and fix errors
Break down complex problems into simpler subproblems and solve bottom-up
Use code generation for precise calculations instead of text reasoning
Verify factual claims one by one to reduce hallucinations
Enhance LLM responses with external knowledge from documents and databases
Break complex tasks into a sequence of simpler prompts for better results
Generate relevant facts first, then use them to provide more accurate answers
Get LLM responses in predictable, machine-readable formats for programmatic processing
Let LLM automatically generate and optimize prompts for your tasks
Automatic selection and use of tools based on task requirements
Chain of thought reasoning for tasks involving images and text
Structure your prompts using proven frameworks
Explore cutting-edge prompting methods for complex tasks