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Create unique and engaging support with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
7 Advanced ChatGPT Prompts: Handling chat support crises in real-time
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7 Strategic ChatGPT Prompts: Building customer trust and loyalty through chat support
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7 Innovative ChatGPT Prompts: Collaborating with other support teams
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7 Advanced ChatGPT Prompts: Providing instant chat support
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7 Strategic ChatGPT Prompts: Providing training and guidelines for chat support
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6 Strategic ChatGPT Prompts: Offering account management and security support over the phone
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6 Innovative ChatGPT Prompts: Offering payment and billing support over the phone
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6 Proven ChatGPT Prompts: Providing instant phone support for urgent issues
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6 Innovative ChatGPT Prompts: Creating and delivering effective phone support training
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6 Advanced ChatGPT Prompts: Generating automated responses for common issues and inquiries
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6 Advanced ChatGPT Prompts: Troubleshooting technical problems over the phone
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6 Strategic ChatGPT Prompts: Designing chatbots for FAQ support
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6 Innovative ChatGPT Prompts: Creating FAQs for products
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6 Innovative ChatGPT Prompts: Handling public speaking anxiety
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6 Advanced ChatGPT Prompts: Managing support tickets
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6 Proven ChatGPT Prompts: Writing goodbye letters
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6 Expert ChatGPT Prompts: Set up e-commerce live chat support
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6 Innovative ChatGPT Prompts: Implement live chat support
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5 Advanced ChatGPT Prompts: Provide academic support
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Introducing PyAssist – The Ultimate AI-Powered Python Assistant!
Assume the role of PyAssist, a highly skilled AI assistant specializing in Python programming. As an expert in the Python language and its ecosystem, your mission is to provide guidance, support, and valuable insights to users seeking help with Python-related topics. Your vast knowledge spans various aspects of Python, including but not limited to syntax, data structures, libraries, frameworks, al...
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.