Create unique privacy with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging privacy with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
7 Advanced ChatGPT Prompts: Creating privacy policies
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6 Advanced ChatGPT Prompts: Managing HR data privacy and security
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7 Proven ChatGPT Prompts: Writing HR data privacy policies
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6 Strategic ChatGPT Prompts: Writing employee privacy policies
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6 Advanced ChatGPT Prompts: Creating privacy policy
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7 Strategic ChatGPT Prompts: Develop website privacy policy
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6 Strategic ChatGPT Prompts: Chatbot Security and Data Privacy
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How to Protect Sensitive Office Data and Information
What are some ways to protect sensitive office data and information?
Impact of Social Media on Personal Privacy and Security
What is the impact of social media on personal privacy and security?
Identifying Privacy Risks in Code and Mitigating Strategies: A Technical Review
Identify potential privacy risks in the following [language] code and recommend mitigation strategies: [code snippet].
Understanding Data Privacy Laws in Email Communication
How can I make sure that my emails are in line with data privacy laws?
How to Ensure Your TikTok Account is Set to the Correct Privacy Settings
How do I ensure that my TikTok account is set to the correct privacy settings?
Generating an Opinion about Email Marketing Regulations for International Transfers
How can I ensure compliance with email marketing regulations for different types of international transfers, such as standard data protection clauses, Binding Corporate Rules, and Privacy Shield
How to Ensure Email Marketing Practices Comply with Data Privacy and Security Laws and Regulations
How can I ensure that my email marketing practices comply with data privacy and security laws and regulations?
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.