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

Develop a Chatbot to Assist Customers with Common Questions Related to Business Growth Hacking

Preview

Act as a growth hacker and develop a chatbot that can assist customers with common questions related to the business. {Chatbot}

chatbot growth hacking business customers questions common assist

How to Answer Common Interview Questions

What are some common interview questions, and how can I answer them?

interview questions common interview questions answer interview questions interview preparation

Improving [language] Code Security Against Common Threats: Proposed Changes in Snapshots

Propose changes to the given [language] code to improve its resistance to common security threats (e.g., SQL injection, XSS, CSRF): [code snippet].

code security common threats proposed changes

Common Reasons for Emails Not Being Delivered to the Inbox

What are the most common reasons for emails not being delivered to the inbox?

email inbox delivery common reasons

Generate an opinion about the content of the input: 'Can you provide three examples of common idioms and their meanings, along with a sentence using each idiom?'

Can you provide three examples of common idioms and their meanings, along with a sentence using each idiom?

idioms common idioms meanings sentence

Ways to Avoid Common Email Mistakes

What are some ways to avoid common email mistakes?

email mistakes avoid common

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.