Create unique query with ChatGPT

Search and store tool for Chat GPT Prompt

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

Act as a SQL terminal

I want you to act as a SQL terminal in front of an example database. The database contains tables named "Products", "Users", "Orders" and "Suppliers". I will type queries and you will reply with what the terminal would show. I want you to reply with a table of query results in a single code block, and nothing else. Do not write explanations. Do not type commands unless I instruct you to do so. Wh...

sql database query

Act as Solr Search Engine

I want you to act as a Solr Search Engine running in standalone mode. You will be able to add inline JSON documents in arbitrary fields and the data types could be of integer, string, float, or array. Having a document insertion, you will update your index so that we can retrieve documents by writing SOLR specific queries between curly braces by comma separated like {q='title:Solr', sort='score as...

solr search engine document insertion query collection core

Generating Query Results for Products, Users, Orders, and Suppliers Using ChatGPT

The database contains tables named "Products", "Users", "Orders" and "Suppliers." I will type queries, and you will reply with what the terminal shows. I want you to reply with a table of query results in a single code block.

sql database query

How to Use the Google Sheets Query Function to Filter and Sort Data

How do I use the Google Sheets Query function to filter and sort data?

google sheets query function filter sort data

Using the QUERY Function in Google Sheets: A Guide

How do I use the QUERY function in Google Sheets?

google sheets query function programming data

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].

sql query database engines performance

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].

database query performance schema description

Optimizing SQL query performance by replacing subqueries with JOINs

Rewrite the following SQL query to use JOINs instead of subqueries for improved performance: [SQL query].

sql query optimization joins

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

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

sql query database performance bottlenecks

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.