Prompting

Techniques for structuring model inputs to get better reasoning, consistency, and output quality.

Promptingbeginner

Chain-of-Thought

Prompt models to show their reasoning step by step to improve accuracy on multi-step problems like math, logic, and complex analysis.

Promptingbeginner

Few-Shot Prompting

Include input-output examples in your prompt so the model learns the expected format, tone, and behavior by demonstration.

Promptingintermediate

Prompt Chaining

Break complex tasks into a sequence of focused prompts where each step's output feeds into the next for more reliable multi-step results.

Promptingadvanced

Prompt Optimization

Automatically optimize prompts against evaluation datasets instead of relying on manual trial-and-error tuning of instructions.

Promptingintermediate

Self-Consistency

Generate multiple reasoning paths and take the majority answer to reduce errors from stochastic generation and improve reliability.