Best of Prompt Engineering2023

  1. 1
    Article
    Avatar of medium_jsMedium·3y

    Master the Perfect ChatGPT Prompt Formula

    Master the Perfect ChatGPT Prompt Formula. Master the Perfect Prompt Formula. In this article, I will share with you 6 basic elements that a good prompt should have. The first thing we need to understand is that the following elements are listed in descending order of importance: task, context, exemplar, persona, format and tone.

  2. 2
    Article
    Avatar of communityCommunity Picks·3y

    The ChatGPT list of lists: A collection of 3000+ prompts, GPTs, use-cases, tools, APIs, extensions, fails and other resources.

    The post discusses the ChatGPT ecosystem and provides a list of resources, prompts, and use cases related to ChatGPT. It also mentions the launch and growth of ChatGPT as a popular AI application.

  3. 3
    Article
    Avatar of freecodecampfreeCodeCamp·3y

    Prompt Engineering for Web Developers

    Learn prompt engineering to enhance your web development skills using AI. The course covers AI-assisted coding and job search with AI language models. The instructor is Treasure Porth.

  4. 4
    Article
    Avatar of ghblogGitHub Blog·3y

    The architecture of today’s LLM applications

    Learn about the architecture of today's LLM applications, including the steps to build an LLM app, choosing the right LLM, customizing the LLM, setting up the app's architecture, and conducting online evaluations. Discover real-world impact examples of LLM apps in use.

  5. 5
    Article
    Avatar of freecodecampfreeCodeCamp·3y

    How to Structure JSON Responses in ChatGPT with Function Calling

    Learn how to structure JSON responses in ChatGPT with function calling. Prompt engineering can help ensure consistent JSON format. Function calling allows better control over the data returned.

  6. 6
    Article
    Avatar of hrbHEARTBEAT·3y

    Prompt Engineering

    In just five days, ChatGPT managed to exceed one million users, a feat that took Netflix 3.5 years, Facebook ten months and Instagram two months. The language model was trained on a 300 billion word (text-DaVinci-003) dataset and fine-tuned on GPT-3.

  7. 7
    Article
    Avatar of mlnewsMachine Learning News·3y

    60+ Useful Prompt Engineering Tools And Resources

    Explore a variety of prompt engineering tools and resources for AI image generation, including prompt galleries, search engines, visual search tools, prompt generators, image-to-prompt generators, text-to-image software, and web apps.

  8. 8
    Article
    Avatar of communityCommunity Picks·3y

    Maybe it makes sense to yell at ChatGPT or say "please" after all

    A bug in the ChatGPT iOS app reveals insights into OpenAI's prompt engineering for interactions between DALL-E 3 and ChatGPT, including the use of capital letters and the word 'please' in prompts.

  9. 9
    Article
    Avatar of hnHacker News·3y

    dair-ai/Prompt-Engineering-Guide: 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

    This post is a prompt engineering guide that contains papers, guides, lectures, references, and tools related to prompt engineering for large language models. It explains the importance of prompt engineering in developing and optimizing language models for various applications.

  10. 10
    Article
    Avatar of hnHacker News·2y

    microsoft/promptbase: All things prompt engineering

    Promptbase is a collection of resources, best practices, and example scripts for prompt engineering, specifically for GPT-4. The article discusses the Medprompt methodology and its three distinct strategies, dynamic few-shot examples, self-generated chain of thought, and majority vote ensembling. It also introduces Medprompt+ and how it extends the power of prompting. The article provides instructions on how to run the scripts and includes links to relevant datasets and additional resources.

  11. 11
    Article
    Avatar of medium_jsMedium·2y

    Master ChatGPT Prompts Using All New Prompting Frameworks

    Learn about four amazing prompting frameworks that can improve your prompting skills and upgrade your productivity.

  12. 12
    Article
    Avatar of phProduct Hunt·3y

    Product Prompt - No-code prompt engineering

    A no-code prompt engineering tool designed to simplify the process of composing prompts with product data for generative AI. It is aimed at teams who need to prototype new generative AI features with LLMs.

  13. 13
    Article
    Avatar of mlnewsMachine Learning News·3y

    Roadmap of Becoming a Prompt Engineer (2023)

    Prompt engineering is the process of creating and refining prompts to guide AI models. It helps improve accuracy and performance of AI models, transforms simple inputs into unique outputs, and ensures user expectations are met. Skills required include a degree in computer science, good writing and communication skills, knowledge about AI models, and experience with natural language processing.

  14. 14
    Article
    Avatar of communityCommunity Picks·2y

    CRISPE — ChatGPT Prompt Engineering Framework

    CRISPE is a framework that provides a blueprint for creating effective prompts for ChatGPT in recruitment and talent sourcing scenarios. It helps guide the AI's responses by defining its role, providing background information, stating the desired action, determining the desired personality, and allowing experimentation. The application of the CRISPE Framework in recruitment enhances efficiency, precision, versatility, communication, and problem-solving.

  15. 15
    Article
    Avatar of hackernoonHacker Noon·3y

    Prompt Engineering: Understanding the Potential of Large Language Models

    Understand the potential of Large Language Models and their applications.

  16. 16
    Article
    Avatar of shiftmagShiftMag - Insightful Engineering Content·3y

    Are you ready to be a Prompt Engineer? Soon, you’ll have to be!

    Prompt Engineering is shaping up to be a distinct job on its own and is slowly creeping into the market. By the end of 2023, we’ll see deep integration of generative AI into a range of widely used products – like Office suites, communication applications, and others.