Create unique Al with ChatGPT

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Create unique and high-quality Al with ChatGPT, a state-of-the-art pre-trained language model powered by OpenAI that can generate accurate and engaging content about artificial intelligence and related topics.

6 Advanced ChatGPT Prompts: Developing targeted social media ads

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7 Strategic ChatGPT Prompts: Writing prospecting emails

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Creating Emotional Sales Page Copy Using Unique Prompts: A Guide for JavaScript Copy

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4 Expert ChatGPT Prompts: Generating Online Funnel Ideas

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Enhancing Prompt Engineering for ChatGPT: Unleashing the Power of Advanced AI Algorithms

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Crafting a Value Ladder for Business Success: Expert Marketing Strategy Guide

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6 Advanced ChatGPT Prompts: Creating Promo Strategies

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6 Strategic ChatGPT Prompts: Launching Referral Contests

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6 Innovative ChatGPT Prompts: Managing Affiliate Relationships

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6 Advanced ChatGPT Prompts: Identifying High-Performing Affiliates

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6 Innovative ChatGPT Prompts: Generating Ad Copy Ideas

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6 Proven ChatGPT Prompts: Generating Google Ads Keywords

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39 Strategic ChatGPT Prompts: 50+ Code Interpreter Prompts [NEW]

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6 Advanced ChatGPT Prompts: Creating Product Placement Opportunities

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6 Strategic ChatGPT Prompts: Creating Social Media Strategies for PR

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6 Expert ChatGPT Prompts: Analyzing PR Engagement Metrics

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6 Innovative ChatGPT Prompts: Creating Brand Messaging for PR

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6 Advanced ChatGPT Prompts: Generating Blog Post Outlines

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6 Strategic ChatGPT Prompts: Generating Blog Post Titles

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6 Advanced ChatGPT Prompts: Developing Content Calendars

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What is “prompt engineering”?

A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”

![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k

Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.

Going from beginner → advanced prompt engineer

As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how

Spend time with the tools

The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.

Become a prompt researcher instead of engineer

If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?

Become a prompt researcher instead of engineer

The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.