Create unique tracking with ChatGPT

Search and store tool for Chat GPT Prompt

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

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Techniques for Estimating and Tracking Time Required for Language Development Tasks

Propose techniques for estimating and tracking the time required for various [language] development tasks.

How to Track and Reward Referrals for Positive Customer Experience?

What is the best way to track and reward referrals and ensure a positive customer experience for both the referrer and the new customer?

Measuring Customer Acquisition Campaign Success And ROI Tracking Techniques

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Tracking the Success of Email Referral Incentive Programs

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Tracking the Success of Email A/B Testing Efforts

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Tracking the Success of Email and Social Media Integration Efforts

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Tracking the Success of Email Community Building Campaigns

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Tracking the Success of Email Event Invitations

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Tracking the Success of Email Re-engagement Campaigns

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Tracking the Effectiveness of Email Referrals Programs

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Tracking the Success of Email Cross-Selling Efforts

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Tracking the Success of Email Calls to Action

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Tracking Email Click-Through Rate

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Optimizing Your Email Subscriber Win-Back Rate: What Metrics Should You Track?

What metrics should I track to optimize the win-back rate of my email subscribers?

Using Email Deliverability Data to Track and Measure Email Campaign Success

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How to Use Email Analytics to Track and Measure Deliverability?

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Key Metrics to Track in an Email A/B Test

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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.


What is prompt engineering

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.


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.
play background gpt3

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.