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      Prompt Engineering Guide
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              * Prompt Engineering
              * Introduction
                      + LLM Settings
                      + Basics of Prompting
                      + Prompt Elements
                      + General Tips for Designing Prompts
                      + Examples of Prompts
              * Prompting Techniques
                      + Zero-shot Prompting
                      + Few-shot Prompting
                      + Chain-of-Thought Prompting
                      + Meta Prompting
                      + Self-Consistency
                      + Generate Knowledge Prompting
                      + Prompt Chaining
                      + Tree of Thoughts
                      + Retrieval Augmented Generation
                      + Automatic Reasoning and Tool-use
                      + Automatic Prompt Engineer
                      + Active-Prompt
                      + Directional Stimulus Prompting
                      + Program-Aided Language Models
                      + ReAct
                      + Reflexion
                      + Multimodal CoT
                      + Graph Prompting
              * Agents
                      + Introduction to Agents
                      + Agent Components
              * Guides
                      + Optimizing Prompts
              * Applications
                      + Fine-tuning GPT-4o
                      + Function Calling
                      + Context Caching with LLMs
                      + Generating Data
                      + Generating Synthetic Dataset for RAG
                      + Tackling Generated Datasets Diversity
                      + Generating Code
                      + Graduate Job Classification Case Study
                      + Prompt Function
              * Prompt Hub
                      + Classification
                              o Sentiment Classification
                              o Few-Shot Sentiment Classification
                      + Coding
                              o Generate Code Snippet
                              o Generate MySQL Query
                              o Draw TiKZ Diagram
                      + Creativity
                              o Rhymes
                              o Infinite Primes
                              o Interdisciplinary
                              o Inventing New Words
                      + Evaluation
                              o Evaluate Plato's Dialogue
                      + Information Extraction
                              o Extract Model Names
                      + Image Generation
                              o Draw a Person Using Alphabet
                      + Mathematics
                              o Evaluating Composite Functions
                              o Adding Odd Numbers
                      + Question Answering
                              o Closed Domain Question Answering
                              o Open Domain Question Answering
                              o Science Question Answering
                      + Reasoning
                              o Indirect Reasoning
                              o Physical Reasoning
                      + Text Summarization
                              o Explain A Concept
                      + Truthfulness
                              o Hallucination Identification
                      + Adversarial Prompting
                              o Prompt Injection
                              o Prompt Leaking
                              o Jailbreaking
              * Models
                      + ChatGPT
                      + Claude 3
                      + Code Llama
                      + Flan
                      + Gemini
                      + Gemini Advanced
                      + Gemini 1.5 Pro
                      + Gemma
                      + GPT-4
                      + Grok-1
                      + LLaMA
                      + Llama 3
                      + Mistral 7B
                      + Mistral Large
                      + Mixtral
                      + Mixtral 8x22B
                      + OLMo
                      + Phi-2
                      + Sora
                      + LLM Collection
              * Risks & Misuses
                      + Adversarial Prompting
                      + Factuality
                      + Biases
              * LLM Research Findings
                      + LLM Agents
                      + RAG for LLMs
                      + LLM Reasoning
                      + RAG Faithfulness
                      + LLM In-Context Recall
                      + RAG Reduces Hallucination
                      + Synthetic Data
                      + ThoughtSculpt
                      + Infini-Attention
                      + LM-Guided CoT
                      + Trustworthiness in LLMs
                      + LLM Tokenization
                      + What is Groq?
              * Papers
              * Tools
              * Notebooks
              * Datasets
              * Additional Readings
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          Prompt Engineering

      Prompt Engineering Guide

      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.

      Prompt engineering is not just about designing and developing prompts. It encompasses a wide range of skills and techniques that are useful for interacting and developing with LLMs. It's an important skill to interface, build with, and understand capabilities of LLMs. You can use prompt engineering to improve safety of LLMs and build new capabilities like augmenting LLMs with domain knowledge and external tools.

      Motivated by the high interest in developing with LLMs, we have created this new prompt engineering guide that contains all the latest papers, advanced prompting techniques, learning guides, model-specific prompting guides, lectures, references, new LLM capabilities, and tools related to prompt engineering.

      Want to learn more?

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        Last updated on April 24, 2025
        Introduction
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