Prompt Hub — Catalog of Prompt Examples

The Prompt Hub is a categorized collection of 25+ prompt examples demonstrating specific LLM capabilities, organized by use case.

Categories (confidence: high)

Classification

  • Sentiment classification (zero-shot and few-shot variants)
  • Demonstrates how in-context examples improve label-format consistency

Coding

  • Code snippet generation from natural language
  • MySQL query generation from schema descriptions
  • TiKZ diagram generation for LaTeX

Creativity

  • Rhyme generation
  • Mathematical creativity (infinite primes)
  • Interdisciplinary concept combination
  • Novel word invention

Evaluation

  • Evaluating philosophical texts (Plato’s dialogue analysis)

Information Extraction

  • Extracting model names from technical text

Image Generation

  • Drawing a person using alphabet characters (ASCII/creative constraint)

Mathematics

  • Evaluating composite functions
  • Adding odd numbers (arithmetic reasoning)

Question Answering

  • Closed-domain QA (restricted context)
  • Open-domain QA (general knowledge)
  • Science QA (domain-specific scientific reasoning)

Reasoning

  • Indirect reasoning (solving by alternative paths)
  • Physical reasoning (commonsense physics)

Text Summarization

  • Explaining a concept concisely

Truthfulness

  • Hallucination identification — detecting whether model claims are factual

Adversarial Prompting

  • Prompt injection — overriding system instructions via user input
  • Prompt leaking — extracting hidden system prompts
  • Jailbreaking — bypassing safety guardrails

Implications

The Prompt Hub serves as both a learning resource and a testing ground. Its breadth shows the wide range of LLM capabilities — from structured classification to open-ended creativity to safety evaluation. The adversarial section is particularly notable as hands-on educational material for understanding LLM security.

prompt-engineering-guide | prompt-engineering-techniques | prompt-engineering-applications | prompt-engineering-risks

Sources

  • raw/prompts/articles/promptingguide-pt-prompts.md
  • raw/prompts/articles/promptingguide-pt-prompts-classification-sentiment.md
  • raw/prompts/articles/promptingguide-pt-prompts-classification-sentiment-fewshot.md
  • raw/prompts/articles/promptingguide-pt-prompts-coding-code-snippet.md
  • raw/prompts/articles/promptingguide-pt-prompts-coding-mysql-query.md
  • raw/prompts/articles/promptingguide-pt-prompts-coding-tikz.md
  • raw/prompts/articles/promptingguide-pt-prompts-creativity-rhymes.md
  • raw/prompts/articles/promptingguide-pt-prompts-creativity-infinite-primes.md
  • raw/prompts/articles/promptingguide-pt-prompts-creativity-interdisciplinary.md
  • raw/prompts/articles/promptingguide-pt-prompts-creativity-new-words.md
  • raw/prompts/articles/promptingguide-pt-prompts-evaluation-plato-dialogue.md
  • raw/prompts/articles/promptingguide-pt-prompts-information-extraction-extract-models.md
  • raw/prompts/articles/promptingguide-pt-prompts-image-generation-alphabet-person.md
  • raw/prompts/articles/promptingguide-pt-prompts-mathematics-composite-functions.md
  • raw/prompts/articles/promptingguide-pt-prompts-mathematics-odd-numbers.md
  • raw/prompts/articles/promptingguide-pt-prompts-question-answering-closed-domain.md
  • raw/prompts/articles/promptingguide-pt-prompts-question-answering-open-domain.md
  • raw/prompts/articles/promptingguide-pt-prompts-question-answering-science-qa.md
  • raw/prompts/articles/promptingguide-pt-prompts-reasoning-indirect-reasoning.md
  • raw/prompts/articles/promptingguide-pt-prompts-reasoning-physical-reasoning.md
  • raw/prompts/articles/promptingguide-pt-prompts-text-summarization-explain-concept.md
  • raw/prompts/articles/promptingguide-pt-prompts-truthfulness-identify-hallucination.md
  • raw/prompts/articles/promptingguide-pt-prompts-adversarial-prompting-prompt-injection.md
  • raw/prompts/articles/promptingguide-pt-prompts-adversarial-prompting-prompt-leaking.md
  • raw/prompts/articles/promptingguide-pt-prompts-adversarial-prompting-jailbreaking-llms.md