- Prompt Patterns: What They Are and 16 You Should Know
Prompt patterns are high-level methods that provide reusable, structured solutions to overcome common LLM output problems Prompt patterns make it easier to craft effective prompts for large language models (LLMs) like ChatGPT For the developers out there, prompt patterns are to prompt engineering what design patterns are to software development
- Prompt Engineering Patterns Guide - GroqDocs
A comprehensive guide to prompt engineering patterns for large language models, including Zero Shot, Few Shot, Chain of Thought, ReAct, Chain of Verification, and Chain of Density Learn when and how to use each pattern with practical examples and tips for reliable results
- Prompt Patterns | Generative AI | Vanderbilt University
Prompt patterns are strategies for structuring prompts that allow you to tap into the right pattern to elicit a particular behavior
- Prompt Engineering Patterns - GitHub
curated collection of prompt engineering patterns and techniques — including Chain of Thought, Few-Shot, Zero-Shot, Role Prompting, and more — with practical examples for reasoning, generation, and task-solving using large language models
- The Perfect Prompt: A Prompt Engineering Cheat Sheet
Here are all example prompts easily to copy, adapt and use for yourself (external link, LinkedIn) and here is a handy PDF version of the cheat sheet (external link, BP) to take with you The
- A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT Prompts are instructions given to an LLM to enforce rules, automate processes, and ensure specific qualities (and quantities) of generated output
- Design Patterns in Prompt Engineering: A Practical Approach - TensorOps
To truly leverage these models' potential, an efficient approach is needed: Prompt Engineering This blog post aims to elucidate key design patterns in prompt engineering, complete with real-world examples to help developers extract maximum benefit from these language models LLMStudio by TensorOps - an open source prompt engineering tool
- Common prompt engineering techniques all developers should . . . - Educative
Prompt engineering is essential for maximizing large language model (LLM) performance This blog covers eight core techniques: zero-shot prompting for basic tasks, few-shot prompting for more nuanced outputs, chain-of-thought prompting for stepwise reasoning, instruction tuning for specificity, role prompting to control tone and expertise, output formatting for structured responses, prompt
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