Create unique copywriting with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging copywriting with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content. Whether you need product descriptions, social media posts, or website content, ChatGPT can help you deliver compelling copies that resonate with your audience. With its advanced artificial intelligence, ChatGPT can understand your brand voice and style, and generate content that reflects your unique personality. Try ChatGPT today and see how it can take your copywriting to the next level.
6 Expert ChatGPT Prompts: Generating customer testimonials
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7 Strategic ChatGPT Prompts: Generating customer satisfaction reports
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7 Expert ChatGPT Prompts: Handling customer inquiries
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6 Proven ChatGPT Prompts: Providing account management support
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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 Proven ChatGPT Prompts: Creating holiday and seasonal promotion
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5 Expert ChatGPT Prompts: Creating upsell and cross-sell recommendations
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5 Strategic ChatGPT Prompts: Generating product bundle offers
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5 Strategic ChatGPT Prompts: Generating promotional product images
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5 Strategic ChatGPT Prompts: Creating marketing copy
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7 Strategic ChatGPT Prompts: Collaborating with influencers
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7 Innovative ChatGPT Prompts: Creating content calendars
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7 Strategic ChatGPT Prompts: Generating customized responses
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7 Expert ChatGPT Prompts: Creating monthly campaigns
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6 Expert ChatGPT Prompts: Generating weekly reports
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7 Strategic ChatGPT Prompts: Handling social media crises
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7 Innovative ChatGPT Prompts: Managing social media ads
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7 Advanced ChatGPT Prompts: Managing social media presence
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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.