Introduction to Prompt Engineering
Introduction to Prompt Engineering
Prompt Engineering
🎯 What is Prompt Engineering?
Prompt Engineering is the art and skill of crafting effective prompts to get accurate, relevant, and useful responses from AI models like ChatGPT, Claude, Gemini, etc.
The prompt user should understand the model’s capabilities and limitations. Prompt engineering skills allow the user to understand the model better and craft useful prompts for the LLMs.
LLM examples
Some of the examples of LLMS are as follows:
- GPT-3/GPT-4
- Google Bard
- DeepSeek
Types of Prompts
Prompts can be broadly classified into the following types:
- Effective prompts
- Ineffective prompts
Effective prompts get high-quality responses from the AI model compared to ineffective prompts.
- Instructional Prompts
- Zero-shot Prompting
- One-shot Prompting
- Few-shot Prompting
- Chain-of-Thought (CoT) Prompting
Basic Prompting Techniques
Some of the basic prompting techniques are as follows:
- Asking questions clearly
- Specifying format (e.g., “respond in JSON“)
- Role assignment: “Act as a…” prompts
- Using delimiters for context clarity
Example Prompts
Software Tester
Prompt example for Software Test Engineer to generate test cases for login page.
Act as a Software Tester. Write 5 test cases for a login form.
Generate the test cases in HTML table format.
English Tutor
Assume you are an English Grammar Tutor. Explain Active and Passive
Voice to a 10-year-old kid.
https://www.testingdocs.com/prompting-engineering-techniques/
