Create unique C with ChatGPT
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Create unique and engaging C with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
6 Expert ChatGPT Prompts: Designing Chatbot User Experience
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6 Strategic ChatGPT Prompts: Implementing Chatbots on Various Channels
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6 Expert ChatGPT Prompts: Building Chatbots with Natural Language Processing
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6 Proven ChatGPT Prompts: Chatbot Integration with Marketing Campaigns
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6 Strategic ChatGPT Prompts: Creating Chatbots for Customer Service
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6 Advanced ChatGPT Prompts: Chatbot Optimization for Lead Generation
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6 Expert ChatGPT Prompts: Testing Chatbot Functionality and Performance
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6 Expert ChatGPT Prompts: Developing Chatbot Conversation Flows
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6 Advanced ChatGPT Prompts: Implementing Chatbots for Website Support
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6 Proven ChatGPT Prompts: Analyzing Chatbot Engagement and Conversion Metrics
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6 Expert ChatGPT Prompts: Customizing Chatbots to Brand Voice and Tone
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6 Strategic ChatGPT Prompts: Chatbot Security and Data Privacy
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6 Innovative ChatGPT Prompts: Creating Chatbots for Social Media
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6 Advanced ChatGPT Prompts: Developing Multilingual Chatbots
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25 ChatGPT Prompts to 25X Your Email Copywriting Results
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10 Advanced ChatGPT Prompts: 5 Prompts You Can Steal to 10x your Email Copywriting Results
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6 Expert ChatGPT Prompts: Generating Abandoned Cart Recovery Emails
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6 Innovative ChatGPT Prompts: Generating Email Campaign Ideas
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6 Strategic ChatGPT Prompts: Generating Email Follow-up Sequences
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6 Innovative ChatGPT Prompts: Generating Email Lead Magnet Ideas
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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.