Create unique demo with ChatGPT

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

6 Strategic ChatGPT Prompts: Assisting with product demos
 6 Strategic ChatGPT Prompts: Assisting with product demos
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8 Strategic ChatGPT Prompts: Create product demo video
 8 Strategic ChatGPT Prompts: Create product demo video
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6 Strategic ChatGPT Prompts: Developing demographic profiles
 6 Strategic ChatGPT Prompts: Developing demographic profiles
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6 Innovative ChatGPT Prompts: Analyze website user demographics
 6 Innovative ChatGPT Prompts: Analyze website user demographics
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7 Advanced ChatGPT Prompts: Create product demos
 7 Advanced ChatGPT Prompts: Create product demos
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6 Innovative ChatGPT Prompts: Developing interactive product demos
 6 Innovative ChatGPT Prompts: Developing interactive product demos
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6 Proven ChatGPT Prompts: Crafting product demo scripts
 6 Proven ChatGPT Prompts: Crafting product demo scripts
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How to Write a Cold Call Sales Script for a Website Demo Request

Write a sales script for a cold call that describes [product/service URL] to [prospect] and encourages them to schedule a demo.

Writing a Product Review for a [Product Type] from the Perspective of a [Target Audience]
 Writing a Product Review for a [Product Type] from the Perspective of a [Target Audience]
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Write a product review for a [product type] from the perspective of a [target audience] who's had it for [time period]. Don't sound overly promotional-write like a [demographic].

Use an "instruction template" method of prompting GPT-3 to generate a Python 3 module using placeholders and notes within a template that contains only a single line of actual Python.

Use this format: ''' <python 3 shebang> <module docstring> <imports> <initialize dotenv> <set key using OPENAI_API_KEY env var> def complete(prompt: str, **openai_kwargs) → str: <one-line docstring; no params> <use default kwargs: model=text-davinci-003,top_p=0.7,max_tokens=512> <note: 'engine' parameter is deprecated> <get completion> <strip whitespace before returning> <as script, d...

Using Audience Insights to Understand Audience Demographics and Behavior on TikTok

How do I use TikTok's "Audience Insights" feature to gain a deeper understanding of my audience demographics and behavior?

How to Demonstrate Value to Your Employer

How can I demonstrate my value to my employer?

Specify demographic targets with ChatGPT

"Product: [detail of your product] What demographics (age, sex, age, income % level) should target for my product above?"

Determining the Effectiveness of Email Product Demo Requests

How do I determine the effectiveness of my email product demo requests?

How Can We Use Virtual Reality to Improve Product Demonstrations and Increase Conversions?

How can we use virtual reality to improve product demonstrations and increase conversions?

Increase Perceived Value of High Ticket Product or Service with Trial or Demo Offer

How can I use a trial or demo offer to increase the perceived value of my high ticket product or service?

Creating a Working Demo for Tools and Features and its Benefits - An Opinion

Create a working demo of a [tool or feature] that showcases its potential benefits and use cases.

Optimizing User Experience and Conversions for Website Demographics

Please analyze our website's user demographics and suggest optimizations to improve user experience and increase conversions for each demographic.

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.