Create unique spam with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging spam with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

Best Practices for Email Deliverability to Avoid Spam Filters

How can I use email deliverability best practices to ensure my emails are not blocked by spam filters?

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Reducing Spam Complaint Rate of Emails

How can I reduce the spam complaint rate of my emails?

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How to Avoid Spam Emails on Mobile Devices

How can I make sure my emails are not marked as spam on mobile devices?

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Creating an Opinion on Email Deliverability Best Practices

How can I use email deliverability best practices to ensure my emails are not marked as spam?

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How to Use Email Deliverability Best Practices to Ensure Compliance with Spam Laws

How can I use email deliverability best practices to ensure my emails are compliant with spam laws?

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Email Deliverability Tactics to Reach the Spam Inbox

How can I use email deliverability tactics to reach the spam inbox?

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Requirements for Sending Commercial Emails Under the CAN-SPAM Act

What are the requirements for sending commercial emails under the CAN-SPAM Act?

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Prevent Emails from Being Seen as Spam

How can I make sure that my emails are not seen as spam?

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Creating an Email Template Compliant with Spam Laws

How can I create an email template that is compliant with spam laws?

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What is a good spam complaint rate for email marketing?

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Measuring Email Spam Complaint Rate

How do I measure the spam complaint rate of my emails?

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How to Ensure Emails are Delivered to the Inbox, Not Spam Folder

How can I make sure my emails are delivered to the inbox, rather than the spam folder?

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Avoiding Designs That Do Not Take Into Account Mobile-Specific Spam Filters and Email Deliverability

How can I avoid using designs that do not take into account the mobile-specific spam filters and email deliverability?

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How to Avoid Being Marked as Spam

How can I avoid being marked as spam?

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Understanding the CAN-SPAM Act for Email Marketing

How can I ensure that my email marketing practices comply with the CAN-SPAM Act?

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What are the Penalties for Violating the CAN-SPAM Act?

What are the penalties for violating the CAN-SPAM Act?

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Exploring the CAN-SPAM Act and its Regulations on Email Marketing Practices

How does the CAN-SPAM Act regulate email marketing practices?

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Using A/B Testing to Improve Email Spam Score and Deliverability Rate

How can I use A/B testing to improve my email's spam score and deliverability rate?

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Using Email List Segmentation to Improve Deliverability and Avoid Spam Filters

How can I use email list segmentation to improve deliverability and avoid spam filters?

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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.