Create unique Product descriptions with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging Product descriptions with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Innovative ChatGPT Prompts: Crafting sales contract templates
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6 Expert ChatGPT Prompts: Generating data-driven white papers
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6 Strategic ChatGPT Prompts: Creating explainer videos for products
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6 Innovative ChatGPT Prompts: Crafting case studies
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6 Proven ChatGPT Prompts: Developing appointment confirmation workflows
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6 Strategic ChatGPT Prompts: Creating appointment scheduling links
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6 Innovative ChatGPT Prompts: Conducting research-driven product positioning analyses.
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6 Innovative ChatGPT Prompts: Creating custom survey sampling plans
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6 Proven ChatGPT Prompts: Developing customer feedback data integration systems
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6 Strategic ChatGPT Prompts: Generating product feedback reports
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6 Strategic ChatGPT Prompts: Creating custom proposal scoring systems
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6 Strategic ChatGPT Prompts: Generating proposal review checklists
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6 Advanced ChatGPT Prompts: Writing proposal win/loss analysis reports
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6 Proven ChatGPT Prompts: Generating team collaboration workflows
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6 Expert ChatGPT Prompts: Writing proposal compliance matrices
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6 Expert ChatGPT Prompts: Developing proposal template libraries
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6 Advanced ChatGPT Prompts: Conducting RFP response analysis
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6 Innovative ChatGPT Prompts: Creating proposal response templates
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6 Advanced ChatGPT Prompts: Generating service-level agreements
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6 Proven ChatGPT Prompts: Developing pricing proposals
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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.