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 Innovative ChatGPT Prompts: Providing chatbot and VA training for new users
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6 Innovative ChatGPT Prompts: Generating order cancelation confirmations
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6 Innovative ChatGPT Prompts: Providing customer support for products
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5 Advanced ChatGPT Prompts: Generating sales leads
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5 Strategic ChatGPT Prompts: Creating event-specific promotions
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5 Strategic ChatGPT Prompts: Generating promotional product images
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7 Strategic ChatGPT Prompts: Collaborating with influencers
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6 Expert ChatGPT Prompts: Generating quick response emails
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7 Proven ChatGPT Prompts: Creating chat workflows for faster resolution
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7 Advanced ChatGPT Prompts: Managing chat presence across channels
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7 Advanced ChatGPT Prompts: Providing instant chat support
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6 Innovative ChatGPT Prompts: Offering payment and billing support over the phone
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6 Proven ChatGPT Prompts: Providing instant phone support for urgent issues
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6 Strategic ChatGPT Prompts: Generating quick, concise responses over the phone
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7 Strategic ChatGPT Prompts: Create project change request
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7 Proven ChatGPT Prompts: Monitor project progress
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6 Proven ChatGPT Prompts: Schedule pitch follow up
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7 Advanced ChatGPT Prompts: Create email marketing plan
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6 Strategic ChatGPT Prompts: Analyze sales data
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8 Innovative ChatGPT Prompts: Provide training to team member
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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.