What is context prompt engineering

Context prompt engineering involves crafting precise prompts that provide LLMs with the right background information, constraints, and examples to generate accurate, consistent outputs. Key techniques include explicit instructions, relevant background data, few-shot examples, format constraints, and progressive refinement. Best practices emphasize keeping context lean, using delimiters, iterative testing, and leveraging model-specific features. Advanced approaches include dynamic context injection, tool-augmented prompts with RAG systems, and automated prompt optimization.