Prompt Engineering

7 items tagged with "prompt-engineering"

Filter by type:

Best Practices1

Prompt Engineering Best Practices

Prompt engineering is the practice of designing clear instructions, examples, and structure so a large language model returns accurate, consistent, and useful output.

Tutorials1

Tutorial

How to engineer effective prompts for LLMs

Apply practical prompt-engineering techniques such as clear instructions, examples, and structured output to get reliable LLM results.

Comparisons1

Comparison

Fine-Tuning vs Prompt Engineering

Prompt engineering steers a model with instructions and examples in the context; fine-tuning changes the weights. Cost, control, and durability differ sharply.

FAQs2

FAQ

What is prompt engineering?

Prompt engineering is the practice of designing the instructions, examples, and context given to a language model to get reliable, accurate outputs. T...

FAQ

What is chain-of-thought prompting?

Chain-of-thought prompting asks a language model to work through a problem step by step before giving a final answer, rather than responding immediate...

Glossaries2

Glossary

Prompt Engineering

Prompt engineering is the practice of designing and refining the text instructions given to a language model to steer its output toward accurate, useful results.

Glossary

Temperature (LLM Sampling)

Temperature is a sampling parameter that scales an LLM's output probabilities, controlling how random or deterministic its token choices are.