in ,

100 Best Resources to become a Prompt Engineer

prompt engineer
prompt engineer

What Is Prompt Engineering?

Prompt engineering is a specialized field within the domain of artificial intelligence (AI) and natural language processing (NLP). It involves crafting effective prompts or inputs to AI language models, enabling them to generate desired outputs accurately. Prompt engineering focuses on understanding the behavior of AI models and formulating prompts that yield specific results, making it a vital aspect of optimizing AI-driven solutions.

What Does a Prompt Engineer Do?

A prompt engineer plays a crucial role in leveraging AI language models effectively. Their main responsibilities include:

  1. Crafting Effective Prompts: Prompt engineers create prompts that instruct AI models to generate desired outputs based on specific criteria. They experiment with different prompt formats, adjusting language and context to achieve the desired results.
  2. Understanding AI Models: A prompt engineer must have a deep understanding of AI language models they work with, such as GPT-3, ChatGPT, or others. They explore the models’ capabilities, strengths, and limitations to craft prompts that align with the models’ behavior.
  3. Optimizing Model Performance: By fine-tuning prompts, prompt engineers improve AI model performance. They analyze output variations, adjust prompts accordingly, and ensure the model’s responses align with desired outcomes.
  4. Problem-Solving and Iteration: Prompt engineers constantly analyze and iterate on prompts to achieve better results. They address challenges, refine prompts, and experiment with various techniques to enhance AI model outputs.
  5. Collaboration and Communication: Prompt engineers work closely with AI developers, researchers, and product teams to integrate AI language models effectively. They provide insights, offer prompt-related recommendations, and collaborate on improving the overall user experience.
  6. Keeping Abreast of AI Advancements: Staying updated with the latest advancements in AI and NLP is crucial for prompt engineers. They follow research papers, attend conferences, and participate in communities to stay informed about emerging techniques and best practices.

In summary, prompt engineers bridge the gap between human language and AI language models. Their expertise in crafting effective prompts ensures that AI models generate accurate, contextually appropriate responses, contributing to the optimization and success of AI-driven solutions.

Step-by-Step Guide to Mastering Prompt Engineering

  1. Grasp the Fundamentals: Start by understanding the basics of AI, natural language processing, and the significance of prompt engineering in the industry. Familiarize yourself with different AI models and their applications.
  2. Learn AI Communication: Study how AI models interact and respond to prompts. Explore the nuances of prompt engineering, including techniques for crafting effective prompts that yield desired outputs.
  3. Build Your Technical Skills: Develop proficiency in programming languages like Python, Java, or others, depending on your AI model of choice. Acquire knowledge of Big Data technologies like Hadoop and Apache Spark to handle vast datasets.
  4. Engage with the Community: Join prompt engineering communities on Discord or other platforms. Collaborate with like-minded individuals, seek advice, and share experiences to accelerate your learning process.
  5. Experiment and Iterate: Practice creating diverse prompts for AI models, continually analyzing their results and refining your approach. Embrace experimentation as a crucial element in enhancing your prompt engineering capabilities.
  6. Stay Updated with Research: Follow recent advancements and research in the field of AI and prompt engineering. Subscribe to reputable journals, attend conferences, and read papers to stay informed.
  7. Utilize Online Courses and Tutorials: Enroll in online courses or tutorials dedicated to prompt engineering. These resources provide structured learning and practical exercises to sharpen your skills.
  8. Leverage OpenAI Resources: Explore the resources provided by OpenAI, including API documentation, forums, and their community Discord server. These platforms offer valuable insights and support from experts.
  9. GitHub Repositories: Access GitHub repositories focused on prompt engineering for tools, code examples, and best practices. Utilize and contribute to the community’s collective knowledge.
  10. Experiment with Real-World Projects: Apply your prompt engineering expertise to real-world projects and challenges. Practical experience is essential for mastering prompt engineering.

Valuable Resources to Get Ahead in Prompt Engineering:

Here are some best links and resources for getting getting started with Prompt engineering.

Prompts collections (free):

Awesome ChatGPT Prompts

Best Data Science ChatGPT Prompts

ChatGPT prompts uploaded by the FlowGPT community

2500+ ChatGPT Prompt Templates


Hero GPT – AI Prompt Library

Reddit’s ChatGPT Prompts

Snack Prompt

ShareGPT – Share your prompts and your entire conversations

Prompt Search – a search engine for AI Prompts

Prompts Collections (Paid)

PromptBase – The largest prompts marketplace on the web

Prompts Generators

BossGPT (the best, but PAID)


NexusGPT – AI-freelancer platform

Pezzo – Centralized Prompt Management and Token Costs Reduction (Free beta, open source)

Promptify – Automatically Improve your Prompt!

Fusion – Elevate your output with Fusion’s smart prompts


ChatGPT Prompt Generator

Prompts Templates Builder


Hero GPT – AI Prompt Generator

LMQL – A query language for programming large language models

OpenPromptStudio  (you need to select OpenAI GPT from the bottom right menu)

Markprompt – Generate Prompts for GPT-4 from your markdown docs

Prompt Chaining

Voiceflow – Professional collaborative visual prompt-chaining tool (the best, but PAID)

Langflow – An UI for LangChain

LANGChain Github  Repository – A visual prompt chaining app





Prompt Appification

Pliny – Turn your prompt into a shareable app (PAID)

RelevanceAI – Build and deploy AI Apps today – The no-code platform for building AI‑powered apps (WAITLIST)

StackAI – Build and Deploy AI Applications in minutes

ChatBase – a ChatBot that answers questions about your site content

Langchain-serve – deploy your LangChain apps on Jina AI Cloud in seconds

Jina-ai Dev-GPT

Courses And Tutorials About Prompts And Chatgpt

Prompt Engineering Roadmap

Learn Prompting – A Free, Open Source Course on Communicating with AI


Reddit’s r/aipromptprogramming Tutorials Collection

Reddit’s r/ChatGPT FAQ

Prompt Engineering Guide

Prompt Engineering 101

Prompt Engineering 101 by Habib & Ozdemir

Prompt Engineering Guide by Sudalai Rajkumar

How to generate text: using different decoding methods for language generation with Transformers

The Illustrated Transformer


How to Communicate with ChatGPT – A Guide to Prompt Engineering

A Beginner’s Guide to ChatGPT Prompt Engineering

A Complete Introduction to Prompt Engineering for Large Language Models

Prompt Engineering Guide: How to Engineer the Perfect Prompts

Best practices for prompt engineering with OpenAI API

ChatGPT Prompt Engineering for Developers

Natural Language Processing

Deep Learning Specialization

Few Shot Learning

Zero Shot Learning Chain of Thought

Zero Shot Chain of Thought

Tree of Thoughts

Prompting GPT-3 To Be Reliable

Decomposed Prompting


Books about prompts:

The ChatGPT Prompt Book

Developing Apps with GPT-4 and ChatGPT

Code Generation & Automated Programming

GPT-Engineer – build any program with GPT-4

Autodebug – automatically debug Python code and fix all errors

Wolverine – use GPT-4 to fix python scripts and to explain what went wrong

CLI-Co-Pilot – convert natural language in shell scripts

Reflexion – Automated Test Driven Development and Correction with GPT-4


ChatGPT-VSCode Dev-GPT



GPT Developer Tools Autoprogram

PAIR (Pair AI Repl) – GPT-4 powered coding assistance REPL

Python Code Completion


AI Code Buddy – CodeRanedeer

GPT-Autopilot – code generation of entire projects

MetaLLM-GPT code generator

GPT-rewriteCSS – CSS Code Batching Editing with GPT-4

PythonGPT – Dynamic Programming with LLMs

Smol Developer

Smol-Plugins – Generate OpenAI plugins for your API

LazyDEV – projects generation and debug with GPT-4

SuperCoder – A SuperAGI agent template to create software projects

Bifrost – automatically generate React code from Figma Designs (WAITLIST)

FlutterFlow AIGen – An AI powered version of FlutterFlow (WAITLIST)

What do you think?

Leave a Reply

Your email address will not be published. Required fields are marked *

GIPHY App Key not set. Please check settings