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 employee engagement dashboards
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6 Innovative ChatGPT Prompts: Developing LinkedIn outreach templates
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7 Strategic ChatGPT Prompts: Collaborating with influencers
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6 Proven ChatGPT Prompts: Developing influencer marketing campaigns
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6 Innovative ChatGPT Prompts: Writing medical diagnosis summaries
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7 Advanced ChatGPT Prompts: Conducting HIPAA compliance audits
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7 Innovative ChatGPT Prompts: Review website conversion rates
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6 Proven ChatGPT Prompts: Writing lead follow-up emails
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6 Expert ChatGPT Prompts: Building Chatbots with Natural Language Processing
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6 Proven ChatGPT Prompts: Translating text from one language to another
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5 Proven ChatGPT Prompts: Sending personalized greeting cards
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6 Expert ChatGPT Prompts: Providing meal recommendations
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6 Proven ChatGPT Prompts: Recommending activities
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7 Expert ChatGPT Prompts: Generating troubleshooting guides
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6 Advanced ChatGPT Prompts: Managing leadership assessment centres
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6 Advanced ChatGPT Prompts: Writing employee satisfaction surveys
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7 Innovative ChatGPT Prompts: Analyzing testing results
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6 Expert ChatGPT Prompts: Track website goals
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6 Proven ChatGPT Prompts: Creating customer journey maps
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6 Advanced ChatGPT Prompts: Generating Blog Post Outlines
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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.”
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.