Create unique Database with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging Database 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

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

Creating Inventory and Database Sheets in Google Sheets Using Templates

How do I use templates to create inventory and database sheets in Google Sheets?

google sheets templates inventory database

Tips for Creating CRUD Code and Database Interaction

Generate a CRUD (Create, Read, Update, Delete) [language] code for a [type of application or service] that interacts with a [type of database]: [application or service description].

crud database interaction programming

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

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].

database partitioning sharding

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

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.