Techniques

Overview Prompt engineering is the art of crafting inputs that get the best outputs from LLMs. Small changes in prompts can dramatically improve results. Basic Techniques Zero-Shot Prompting Classify the sentiment of this review as positive, negative, or neutral: "The product arrived late but works great." Sentiment: Few-Shot Prompting Classify the sentiment: Review: "Amazing quality, fast shipping!" → Positive Review: "Broken on arrival, terrible." → Negative Review: "It's okay, nothing special." → Neutral Review: "The product arrived late but works great." → Chain-of-Thought (CoT) Q: A store has 23 apples. They sell 8 and receive 15 more. How many apples? Let me think step by step: 1. Start with 23 apples 2. Sell 8: 23 - 8 = 15 apples 3. Receive 15: 15 + 15 = 30 apples Answer: 30 apples Role Prompting You are an expert Python developer with 15 years of experience. Review this code for bugs, performance issues, and best practices: ```python def process(data): result = [] for i in range(len(data)): result.append(data[i] * 2) return result ## Structured Output Extract information from this text and return as JSON: ...