Beyond Simple Chatting

For a developer, a prompt isn't just a question; it's a function call where the LLM is the execution engine.

1. Few-Shot Prompting

Providing examples is the most effective way to guide an LLM's output format and style.

Input: Translate "Hello" to French. Output: Bonjour
Input: Translate "Goodbye" to French. Output: Au revoir
Input: Translate "AI is great" to French. Output: 

2. Chain of Thought (CoT)

Asking the model to "think step by step" reduces hallucinations and improves logical reasoning significantly.

3. The Delimiter Strategy

Use clear delimiters like triple quotes (""") or XML tags to separate instructions from the content being processed.

This prevents "prompt injection" where the user input might contain commands that confuse the model.