A Comprehensive Prompt Engineering Guide by Dair-AI

Source from dair-ai’s GitHub

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.

You can also find the most up-to-date guides on our new website https://www.promptingguide.ai/.

• Prompt Engineering – Introduction
  • Prompt Engineering – LLM Settings
  • Prompt Engineering – Basics of Prompting
  • Prompt Engineering – Prompt Elements
  • Prompt Engineering – General Tips for Designing Prompts
  • Prompt Engineering – Examples of Prompts
• 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 – Tree of Thoughts (ToT)
  • Prompt Engineering – Automatic Reasoning and Tool-use (ART)
  • Prompt Engineering – Automatic Prompt Engineer
  • Prompt Engineering – Active-Prompt
  • Prompt Engineering – Directional Stimulus Prompting
  • Prompt Engineering – ReAct Prompting
  • Prompt Engineering – Multimodal CoT Prompting
  • Prompt Engineering – Graph Prompting
• Prompt Engineering – Applications
  • Prompt Engineering – Program-Aided Language Models
  • Prompt Engineering – Generating Data
  • Prompt Engineering – Generating Code
  • Prompt Engineering – Graduate Job Classification Case Study
• Prompt Engineering – Models
  • Prompt Engineering – Flan
  • Prompt Engineering – ChatGPT
  • Prompt Engineering – LLaMA
  • Prompt Engineering – GPT-4
  • Prompt Engineering – Model Collection
• Prompt Engineering – Risks and Misuses
  • Prompt Engineering – Adversarial Prompting
  • Prompt Engineering – Factuality
  • Prompt Engineering – Biases
• Prompt Engineering – Papers
  • Prompt Engineering – Overviews
  • Prompt Engineering – Approaches
  • Prompt Engineering – Applications
  • Prompt Engineering – Collections
• Prompt Engineering – Tools
• Prompt Engineering – Notebooks
• Prompt Engineering – Datasets
• Prompt Engineering – Additional Readings