Prompt Engineering Guide
The Prompt Engineering Guide skill equips designers, engineers, and product managers with the essential knowledge to effectively leverage large language models (LLMs) through optimized prompt creation. By addressing common challenges such as enhancing question answering and improving arithmetic reasoning, this skill empowers users to develop more robust applications and tools utilizing LLMs. The guide compiles cutting-edge research, practical learning resources, and hands-on courses that streamline the workflow of implementing intelligent systems effectively. With its structured insights and comprehensive coverage, it not only improves the quality of interactions with AI but also fosters a deeper understanding of the underlying capabilities and constraints of LLMs.
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Prompt Engineering Guide
<h5 align="center"> Sponsored by <a href="https://serpapi.com/"><img src="https://cdn.rawgit.com/standard/standard/master/docs/logos/serpapi.png" height=35 valign="middle"></a> </h5>Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools.
Motivated by the high interest in developing with LLMs, we have created this new prompt engineering guide that contains all the latest papers, learning guides, lectures, references, and tools related to prompt engineering for LLMs.
🌐 Prompt Engineering Guide (Web Version)
🎉 We are excited to launch our new prompt engineering, RAG, and AI Agents courses under the DAIR.AI Academy. Join Now!
The courses are meant to compliment this guide and provide a more hands-on approach to learning about prompt engineering, context engineering, and AI Agents.
Use code PROMPTING20 to get an extra 20% off.
Happy Prompting!
Announcements / Updates
- 🎓 We now offer self-paced prompt engineering courses under our DAIR.AI Academy. Join Now!
- 🎓 New course on Prompt Engineering for LLMs announced! Enroll here!
- 💼 We now offer several services like corporate training, consulting, and talks.
- 🌐 We now support 13 languages! Welcoming more translations.
- 👩🎓 We crossed 3 million learners in January 2024!
- 🎉 We have launched a new web version of the guide here
- 🔥 We reached #1 on Hacker News on 21 Feb 2023
- 🎉 The First Prompt Engineering Lecture went live here
Guides
You can also find the most up-to-date guides on our new website https://www.promptingguide.ai/.
- Prompt Engineering - Introduction
- Prompt Engineering - Techniques
- Prompt Engineering - Zero-Shot Prompting
- Prompt Engineering - Few-Shot Prompting
- Prompt Engineering - Chain-of-Thought Prompting
- Prompt Engineering - Self-Consistency
- Prompt Engineering - Generate Knowledge Prompting
- Prompt Engineering - Prompt Chaining
- Prompt Engineering - Tree of Thoughts (ToT)
- Prompt Engineering - Retrieval Augmented Generation
- Prompt Engineering - Automatic Reasoning and Tool-use (ART)
- Prompt Engineering - Automatic Prompt Engineer
- Prompt Engineering - Active-Prompt
- Prompt Engineering - Directional Stimulus Prompting
- Prompt Engineering - Program-Aided Language Models
- Prompt Engineering - ReAct Prompting
- Prompt Engineering - Multimodal CoT Prompting
- Prompt Engineering - Graph Prompting
- [Prompt Engineering - Applications](http
