Create unique Natural Language Processing with ChatGPT

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

6 Strategic ChatGPT Prompts: Writing training manuals

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training manuals natural language processing content generation

6 Proven ChatGPT Prompts: Writing lead follow-up emails

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6 Innovative ChatGPT Prompts: Developing LinkedIn outreach templates

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6 Expert ChatGPT Prompts: Creating lease renewal offers

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lease renewal offers natural language processing personalized offers

6 Innovative ChatGPT Prompts: Creating tenant move-out letters

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chatgpt tenant move-out letters natural language processing

6 Strategic ChatGPT Prompts: Writing lease termination offers

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chatgpt lease termination natural language processing

6 Strategic ChatGPT Prompts: Developing property insurance policies

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6 Strategic ChatGPT Prompts: Set up project change management plan

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6 Expert ChatGPT Prompts: Write website title tags

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6 Strategic ChatGPT Prompts: Develop responsive design

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6 Advanced ChatGPT Prompts: Design website navigation

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6 Expert ChatGPT Prompts: Track website goals

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6 Proven ChatGPT Prompts: Create website attribution modeling

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7 Advanced ChatGPT Prompts: Create product demos

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7 Advanced ChatGPT Prompts: Develop product catalog

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6 Proven ChatGPT Prompts: Track expenses

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7 Proven ChatGPT Prompts: Help plan a solo trip

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7 Proven ChatGPT Prompts: Provide cultural tips

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chatgpt cultural tips natural language processing

7 Expert ChatGPT Prompts: Recommend dietary recipes

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7 Innovative ChatGPT Prompts: Provide remote work advice

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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.