# Prompt University

## Docs

- [Welcome](https://prompt.university/index.md): Get Started on your Journey to Master AI Prompting
- [Module 1 Quiz](https://prompt.university/module-1/assessment.md): Test your knowledge of prompting fundamentals
- [Module 1: Foundations of Prompting](https://prompt.university/module-1/index.md): Build a solid foundation in prompt engineering fundamentals
- [Lesson 1.1: What is Prompting?](https://prompt.university/module-1/lesson-1.md): Understand the fundamentals of how prompts guide LLM behavior
- [Lesson 1.2: Anatomy of a Prompt](https://prompt.university/module-1/lesson-2.md): Master the components and structure of effective prompts
- [Lesson 1.3: In-Context Learning Fundamentals](https://prompt.university/module-1/lesson-3.md): Master zero-shot, one-shot, and few-shot learning techniques
- [Lesson 1.4: Core Prompting Principles](https://prompt.university/module-1/lesson-4.md): Master the four fundamental principles that make prompts effective
- [Module 2 Assessment](https://prompt.university/module-2/assessment.md): Test your mastery of task-specific prompting patterns
- [Module 2: Task-Specific Prompting Patterns](https://prompt.university/module-2/index.md): Master proven patterns for classification, extraction, generation, transformation, and QA tasks
- [Lesson 2.1: Text Classification Prompts](https://prompt.university/module-2/lesson-1.md): Learn how to extract reliable classifications from text-generating LLMs
- [Lesson 2.2: Information Extraction Prompts](https://prompt.university/module-2/lesson-2.md): Pull structured data from unstructured text using progressive extraction techniques
- [Lesson 2.3: Text Generation Prompts](https://prompt.university/module-2/lesson-3.md): Create content with specific constraints and attributes using structured generation patterns
- [Lesson 2.4: Text Transformation Prompts](https://prompt.university/module-2/lesson-4.md): Transform text across languages, styles, formats, and reading levels
- [Lesson 2.5: Question-Answering Prompts](https://prompt.university/module-2/lesson-5.md): Build robust QA systems with structured reasoning and step-by-step problem solving
- [Module 3 Assessment](https://prompt.university/module-3/assessment.md): Build a Multi-Capability AI Assistant using advanced prompting techniques
- [Module 3: Advanced Prompting Techniques](https://prompt.university/module-3/index.md): Master Chain of Thought, problem decomposition, self-refinement, and RAG for complex reasoning tasks
- [Lesson 3.1: Chain of Thought (CoT) Prompting](https://prompt.university/module-3/lesson-1.md): Unlock step-by-step reasoning capabilities with Chain of Thought prompting
- [Lesson 3.2: Problem Decomposition](https://prompt.university/module-3/lesson-2.md): Break complex problems into manageable sub-problems using systematic decomposition strategies
- [Lesson 3.3: Self-Refinement & Iteration](https://prompt.university/module-3/lesson-3.md): Iteratively improve outputs through self-critique and systematic refinement
- [Lesson 3.4: Ensembling & Multi-Path Reasoning](https://prompt.university/module-3/lesson-4.md): Combine multiple reasoning paths and approaches for robust, reliable solutions
- [Lesson 3.5: Tool Integration & RAG](https://prompt.university/module-3/lesson-5.md): Connect LLMs to external knowledge sources and tools through RAG and structured tool use
- [Contributing to Research](https://prompt.university/research/contributing.md): How to contribute model discoveries, papers, and tasks
- [Open Source AI Research](https://prompt.university/research/index.md): Open source tracking of AI models, research papers, and frontier capabilities
- [AI Model Database](https://prompt.university/research/models/index.md): Comprehensive database of AI models with discovery sources and validation status
- [GPT-4o](https://prompt.university/research/models/openai-gpt-4o.md): OpenAI's flagship multimodal model with text, image, and audio capabilities
- [Chain of Thought Reasoning at Scale](https://prompt.university/research/papers/2501-12345-reasoning-improvements.md): Achieving human-level mathematical reasoning through improved CoT techniques
- [Research Papers](https://prompt.university/research/papers/index.md): AI research papers cross-referenced with model impacts and benchmark changes
- [Generate Marketing Copy](https://prompt.university/research/tasks/generate-marketing-copy.md): Complete workflow for AI-powered marketing copy generation
- [Applied Tasks](https://prompt.university/research/tasks/index.md): Problem-solving workflows using frontier models
- [Best Practices](https://prompt.university/resources/best-practices.md): Quick reference guide for effective prompt engineering
- [Free Resources](https://prompt.university/resources/free-resources.md): Curated resources for deepening your prompt engineering knowledge