Prompt Engineering
Content
- What is prompt engineering?
- Why prompt engineering matters?
- Basics of prompt engineering
- The prompt engineering lifecycle
- Inference Parameters
- Zero-Shot
- Few-Shot
- Chain of thought
- Self-Consistency
- General Tips for Designing Prompts
- Common Misconceptions About Prompts
- Prompt Generator Tools
- Reasoning Model (i.e. OpenAI o1/DeepSeek R1)
Key Takeaways:
Prompt engineering is an 𝗶𝘁𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 involving continuous 𝘁𝗲𝘀𝘁𝗶𝗻𝗴, 𝗺𝗼𝗱𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻. As models continue to evolve, prompts must adapt accordingly to maintain effectiveness.
What is prompt engineering?
Prompt engineering is about "communicating" with LLM in a way that maximizes the model's understanding and performance on a given task. At its core, prompt engineering involves designing, refining, and optimizing the text inputs (prompts) given to models to elicit accurate, relevant, and useful responses.