What is Prompt Engineering?
Prompt Engineering is the art of designing effective inputs (prompts) to get the most accurate, relevant, and helpful responses from a Large Language Model (LLM). Since LLMs respond based on the text they receive, carefully crafting your prompt directly impacts the quality of the output.
A.How LLMs understand input:
LLMs like GPT-4 analyze input using patterns and probabilities. They don’t “understand” language like humans, but they can predict likely next words based on training data.
When given a prompt, the model:
1. Processes the input context.
2. Predicts the most probable next word/token.
3. Repeats the process until the response is complete.
That’s why clear, structured prompts lead to better, more reliable responses.
B. Best practices for writing effective prompts
Here are key guidelines for crafting great prompts:
• ✅ Be clear and specific: Avoid vague questions.
• ✅ Define the format: Tell the model exactly what you expect (e.g., list, paragraph, bullet points).
• ✅ Provide context: More context leads to more accurate answers.
• ✅ Set tone or role: “Act as a teacher…” or “Explain like I’m 5…”
Example:: ❌ “Tell me about AI”
✅ “Explain Artificial Intelligence in 3 bullet points for a high school student.”
