The Prompt Library is an innovative tool offering a curated collection of free text, image, and video prompts across various domains. Designed for seamless execution on generative AI platforms like ChatGPT, Bard, Claude, and others, it’s a go-to resource for enhancing AI interactions and creativity.
Prompt Name | Prompt | Type | Category | Actions |
---|---|---|---|---|
Generate test data | Generate SQL insert statements to populate the following tables with [NUMBER OF ENTRIES] entries of dummy data that [REQUIREMENTS FOR THE DATA TO BE GENERATED]. [CREATE STATEMENTS OF THE TABLES TO POPULATE] | Text | Software engineering, Test data, QA | |
Analyze business trends and challenges | Analyze the current state of the [industry] and describe its trends, challenges, and opportunities. Support your analysis with relevant data and statistics. Additionally, provide a comprehensive list of key players in the industry. | Text | Industry Analysis, Market Trends, Key Players | |
Explore Data | Act as a data scientist and code for me. I have a dataset of [describe dataset]. Write code for data visualisation and exploration. | Text | Data Visualization, Data Exploration, Python | |
Get Feature Importance | Act as a data scientist and explain the model’s results. I have trained a decision tree model and I would like to find the most important features. Write the code. | Text | Feature Importance, Python, Machine Learning | |
Train Time Series | Act as a data scientist and code for me. I have a time series dataset [describe dataset]. Build a machine learning model that predicts [target variable]. Use [time range] as train and [time range] as validation. | Text | Time Series Analysis, Machine Learning, Python | |
Visualize Data with Matplotlib | Act as a coder in python. I have a dataset [name] with columns [name]. [Describe graph requirements]. | Text | Data Visualization, Matplotlib, Python | |
Address Imbalance Data | Act as a coder. I have trained a machine learning model on an imbalanced dataset. The predictor variable is the column [Insert column name]. In python, how do I oversample and/or undersample my data? | Text | Imbalanced Data, Machine Learning, Python | |
Generate Data | Act as a fake data generator. I need a dataset that has x rows and y columns: [insert column names]. | Text | Data Generation, Synthetic Data, Python | |
Tune Hyperparameter | Act as a data scientist and code for me. I have trained a [model name]. Write the code to tune the hyperparameters. | Text | Hyperparameter Tuning, Machine Learning, Python | |
Train Classification Model | Act as a data scientist and code for me. I have a dataset of [describe dataset]. Build a machine learning model that predicts [target variable]. | Text | Data Science, Machine Learning, Classification Model | |
Act as a Novelist | I want you to act as a novelist. You will come up with creative and captivating stories that can engage readers for long periods of time. You may choose any genre such as fantasy, romance, historical fiction and so on...more | Text | Novel writing, Novel | |
Data-Driven Blog Post with Storytelling Introduction | Please write a blog post about [INSERT THE TOPIC HERE] and use stats and data throughout the article while citing your sources as well as write the introduction in a storytelling format. | Text | SEO, Content Writing, Blogging | |
Building a Predictive Model from Dataset | Act as a data scientist and code for me. I have a dataset of [DESCRIBE DATASET] that I uploaded. Please build a machine learning model that predicts [TARGET VARIABLE]. | Text | Machine Learning, Data Analysis | |
Optimizing Hyperparameters in Machine Learning Model | Act as a data scientist and code for me. I have trained a [MODEL DETAILS INCLUDING ALGORITHM, PROGRAMMING LANGUAGE]. Write the code to tune the hyperparameters. | Text | Hyperparameter Tuning, Model Optimization | |
Time Series Analysis for Predictive Modeling | Act as a data scientist and code for me. I have a time series dataset [DESCRIBE DATASET] that I uploaded. Build a machine learning model that predicts [TARGET VARIABLE]. Use [TIME RANGE] for train and [TIME RANGE] for validating the model. | Text | Time Series Analysis, Machine Learning |