Why is Prompt Engineering Important?
The difference between a good and bad prompt can be 30-50% in accuracy. An excellent prompt reduces costs (fewer tokens, fewer retries), improves consistency, enables format and style control, and prevents hallucinations.
Basic Principles
1. Be Specific
Instead of "write about sales", write "Write 5 tips for improving B2B sales in SaaS companies, each tip in 2-3 sentences".
2. Define the Role
"You are a marketing consultant with 15 years of experience in the Israeli market. Your expertise is in fintech startups."
3. Define the Format
Request JSON, markdown, or a specific structure. The clearer the format, the more consistent the results.
4. Provide Context
Supply background about the company, target audience, and pain point. Context dramatically improves relevance.
Chain-of-Thought (CoT)
A technique that asks the model to "think out loud" before giving an answer. Zero-Shot CoT: adding "Let's think step by step" at the end. Few-Shot CoT: providing examples of step-by-step thinking. Improves 30-50% accuracy in logical tasks.
Few-Shot Learning
Presenting 3-5 examples to the model before the task. Very effective for classification, specific formats, and special tasks. Choose diverse examples that cover edge cases.
Self-Consistency
Running the same prompt multiple times with high temperature and selecting the most common answer. Excellent for tasks with a single "correct" answer. 15-25% improvement in consistency.
Advanced Role Prompting
Rich personality definition: who you are, your background, your style, what you don't do, and your format. This gives much better results than "you are an expert in X".
Retrieval-Augmented Prompting
Incorporating external information into the prompt in a structured way with numbered sources, usage instructions, and source citations in answers.
Defensive Prompting
Protection against prompt injection and unwanted responses: clear boundaries, handling manipulation attempts, and structured response templates.
Summary
Prompt Engineering is a skill that improves with practice. Start with basic principles, advance to sophisticated techniques, and always measure and improve. For Hebrew prompts, always add explicit language instructions.
