Create unique Tab with ChatGPT

Search and store tool for Chat GPT Prompt

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

How to Use Pivot Tables to Summarize Large Data Sets in Google Sheets

How do I use pivot tables to summarize large data sets in Google Sheets?

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How to Refresh Pivot Table Data in Google Sheets

How do I refresh pivot table data in Google Sheets?

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Creating a Pivot Chart from a Pivot Table in Google Sheets

How do I create a pivot chart from a pivot table in Google Sheets?

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Creating Calculated Fields in Google Sheets Pivot Tables

How do I create a calculated field in a pivot table in Google Sheets?

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Grouping Pivot Table Data by Date or Time in Google Sheets

How do I group pivot table data by date or time in Google Sheets?

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Sorting Pivot Table Data in Google Sheets

How do I sort pivot table data in Google Sheets?

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Filtering Pivot Table Data in Google Sheets

How do I filter pivot table data in Google Sheets?

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How to Customize Pivot Table Fields in Google Sheets

How do I customize pivot table fields in Google Sheets?

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Creating a Pivot Table in Google Sheets

How do I create a pivot table in Google Sheets?

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How to Change the Color of a Sheet Tab in Google Sheets

How do I change the color of a sheet tab in Google Sheets?

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Creating an Opinion on Email Marketing Regulations Compliance

How can I ensure compliance with email marketing regulations for different types of reporting and accountability, such as data protection impact assessments, records of processing activities, and data breach notifications?

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Reducing Costs and Increasing Profitability

What are some ways to reduce costs and increase profitability?

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Specify the length of your output in the prompt to have more control of the generation

Write a 280-character witty Tweet about Meta and the Metabase.

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Comparing the Performance of SQL Query using Multiple Database Engines

Compare the performance of the given SQL query using different database engines (e.g., MySQL, PostgreSQL, Oracle): [SQL query].

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Best partitioning or sharding strategies for large-scale database queries: SQL or NoSQL queries

Suggest partitioning or sharding strategies for the following large-scale database query: [SQL or NoSQL query].

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Identifying Inefficiencies in Database Schema for Query Performance Optimization

Identify any inefficiencies in the given database schema that may be affecting query performance: [schema description].

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Analyzing SQL Query for Potential Bottlenecks: A Guide to Optimize Database Performance

Analyze the given SQL query for any potential bottlenecks: [SQL query].

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Creative Ways to Showcase Your Brand Personality and Make it Memorable

What are some creative ways to showcase my brand personality and make my brand more memorable and relatable?

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Identifying Profitable Marketing Channels with Data Analytics for Increased ROI

How can we use data analytics to identify and optimize our most profitable marketing channels for increased ROI?

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Optimizing Pricing Strategy through Data Analytics for Maximum Profitability

How can we use data analytics to optimize our pricing strategy for maximum profitability?

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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.