Create unique SUM with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and attention-grabbing SUM content with ChatGPT, a cutting-edge pre-trained language model powered by OpenAI. Our platform generates high-quality and accurate content that will capture your audience's interest and keep them engaged with your brand.
7 Proven ChatGPT Prompts: Writing legal summaries
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6 Strategic ChatGPT Prompts: Writing book summaries
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5 Expert ChatGPT Prompts: Screening resumes for qualifications
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7 Advanced ChatGPT Prompts: Review project assumptions
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7 Expert ChatGPT Prompts: Develop marketing strategy
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7 Expert ChatGPT Prompts: Review team workload
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7 Proven ChatGPT Prompts: Writing resumes
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6 Innovative ChatGPT Prompts: Conducting data analysis
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6 Proven ChatGPT Prompts: Crafting project milestone summaries
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6 Innovative ChatGPT Prompts: Writing meeting summaries
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7 Expert ChatGPT Prompts: Analyze entertainment consumption
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6 Innovative ChatGPT Prompts: Crafting research-based branding strategies
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6 Strategic ChatGPT Prompts: Developing survey questionnaires
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6 Strategic ChatGPT Prompts: Crafting focus group discussion guides
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6 Proven ChatGPT Prompts: Writing executive summaries
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6 Expert ChatGPT Prompts: Crafting monthly sales summaries
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6 Innovative ChatGPT Prompts: Writing Benefit-Driven Sales Copy
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Summarise Text While Retaining Important Information and Catchy Phrases
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6 Strategic ChatGPT Prompts: Summarizing Customer Feedback
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Ai-powered Movie Critics
Instructions: I will pass an input "<input>", and you will create a prompt for the AI-powered movie critic to give an in-depth, unbiased analysis of any movie. Please make sure to include a brief summary of the movie, strengths and weaknesses, and a recommendation for viewers. Example Input Prompt: "The Godfather" Example Output Prompt: "The Godfather" is a 1972 American crime film directe...
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.