Prompt Engineering Guide (promptingguide.ai)

The Prompt Engineering Guide is a comprehensive educational resource hosted at promptingguide.ai, maintained by DAIR.AI. It covers prompt engineering techniques, model-specific guides, applications, risks, and research findings, all available in Portuguese (translated) and English.

Structure (confidence: high)

The guide is organized into a hierarchical navigation:

1. Introduction — What is prompt engineering, LLM settings (temperature, top_p), basics, elements, design tips, and examples
2. Techniques — 18 documented prompting techniques (see prompt-engineering-techniques)
3. Applications — Real-world use cases: data generation, code generation, function calling, context caching, fine-tuning GPT-4o, synthetic RAG
4. Prompt Hub — A catalog of categorized prompt examples demonstrating specific capabilities
5. Models — 21+ model-specific pages with prompting guidance
6. Risks & Misuse — Adversarial prompting, factuality concerns, biases
7. Research — Summaries of LLM research papers on agents, RAG, reasoning, tokenization, hallucinations
8. Guides — Practical tutorials on optimizing prompts, deep research, reasoning LLMs, image generation

Key Themes (confidence: high)

• Iterative design — Prompting is presented as an experimental, iterative process
• Specificity over cleverness — Clear, direct instructions outperform creative ambiguity
• Few-shot > zero-shot — In-context learning with examples improves reliability
• Structured output — Format indicators and output constraints improve consistency

Implications

The guide represents a comprehensive, practitioner-oriented reference for prompt engineering. Its Portuguese translation makes it accessible to Portuguese-speaking developers and researchers. The inclusion of both foundational concepts and cutting-edge research (infini-attention, GraphPrompt, Kimi K2.5) reflects the fast-moving nature of the field.

dair-ai | prompt-engineering-techniques | llm-models-guide | prompt-engineering-applications | prompt-engineering-guides | llm-settings-and-parameters | prompt-engineering-resources

Sources

• raw/prompts/articles/promptingguide-pt.md
• raw/prompts/articles/promptingguide-pt-introduction.md
• raw/prompts/articles/promptingguide-pt-techniques.md
• raw/prompts/articles/promptingguide-pt-models.md
• raw/prompts/articles/promptingguide-pt-applications.md
• raw/prompts/articles/promptingguide-pt-risks.md
• raw/prompts/articles/promptingguide-pt-research.md
• raw/prompts/articles/promptingguide-pt-agents.md
• raw/prompts/articles/promptingguide-pt-course.md
• raw/prompts/articles/promptingguide-pt-courses.md