NLP & Language · beginner · concept 111 of 311 · Updated Nov 4, 2026
Prompt Engineering
The art and science of crafting inputs to LLMs to get optimal outputs. Techniques include zero-shot, few-shot, chain-of-thought, ReAct, and system prompts. One of the most practical everyday AI skills.
Top AI contributors on this
- Andrew NgDeepLearning.AI / AI Fund
- Dario AmodeiAnthropic
- Sam AltmanOpenAI
- Andrej KarpathyAnthropic
- Jeff DeanDiscovery Loop
- Noam ShazeerOpenAI
Key terms
Zero-shotFew-shotChain-of-thoughtSystem promptTemperature
Where you meet it in the real world
Every interaction with ChatGPT, Claude, Gemini, it's the universal AI interface
Videos
▶ Prompting 101 | Code w/ Claude ↗
Anthropic · YouTube
▶ Context Engineering vs. Prompt Engineering: Smarter AI with RAG & Agents ↗
IBM Technology · YouTube
Guides and articles
Courses, papers, and more
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