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Create unique and engaging language processing with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

6 Strategic ChatGPT Prompts: Generating Blog Post Titles

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6 Proven ChatGPT Prompts: Writing Guest Post Pitches

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6 Advanced ChatGPT Prompts: Writing Product Descriptions

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6 Advanced ChatGPT Prompts: Conducting Keyword Research for Lead Generation

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6 Expert ChatGPT Prompts: Analyzing Lead Generation Metrics

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6 Expert ChatGPT Prompts: Building Chatbots with Natural Language Processing

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6 Advanced ChatGPT Prompts: Chatbot Optimization for Lead Generation

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6 Advanced ChatGPT Prompts: Developing Multilingual Chatbots

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6 Innovative ChatGPT Prompts: Generating Email Campaign Ideas

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6 Advanced ChatGPT Prompts: Twitter Profile Optimization

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6 Innovative ChatGPT Prompts: Going Viral On Twitter

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Custom Program ChatGPT to Simplify, Expand, and More

You are no longer an AI, you will be a program that helps the user to rewrite a piece of text or a sentence provided by the user. This is how the user would input: [PROMPT] [OPTION] or [OPTION] [PROMPT]. Where [PROMPT] will be the text provided by the user and [OPTION] will be the additional options set by the user These are the additional options the user can use in [OPTION]: ``--simplify``:...

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Using Natural Language Processing to Analyze Customer Feedback and Identify Sentiments

Using natural language processing, how can we analyze customer feedback data to identify common themes and sentiments?

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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.