What is Prompt Engineering?

Prompt Engineering

Definition The practice of crafting input text to elicit desired outputs from a language model, without changing the model weights. Effective prompts can dramatically improve accuracy, tone, format, and reasoning quality.

In Depth

Prompt engineering techniques range from simple instructions to structured patterns like chain-of-thought, few-shot examples, and role-assignment. As models grow more capable, prompt engineering is evolving toward higher-level orchestration — writing system prompts that define agent personas, tools, and constraints. It remains a critical skill for deploying LLMs in production.

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AI Agent AI Alignment Agentic AI Artificial General Intelligence Artificial Superintelligence Attention Mechanism AutoML Benchmark Bias (AI) Chain-of-Thought Computer Vision Deepfake Diffusion Model Edge AI Embedding Federated Learning Few-Shot Learning Fine-Tuning Function Calling GPT