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...
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.
Creating Inventory and Database Sheets in Google Sheets Using Templates
How do I use templates to create inventory and database sheets in Google Sheets?
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].
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].
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].
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].
Analyzing SQL Query for Potential Bottlenecks: A Guide to Optimize Database Performance
Analyze the given SQL query for any potential bottlenecks: [SQL query].
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.