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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
AI in Sci-Fi Galactic Adventures | Describe an intergalactic journey where AI-driven spaceships embark on a mission to explore uncharted territories in the cosmos. | Text | Space Exploration, AI Spaceships | |
AI and Philosophical Existence | Reflect on the concept of artificial consciousness. What ethical considerations arise in a world where AI possesses self-awareness? | Text | AI Ethics, Consciousness Exploration | |
A Great Way to Learn any Topic | Act as an expert educator in the field of [topic]. I'm seeking a comprehensive understanding of this subject and would like you to guide me through a detailed exploration, covering its foundational aspects, historical development, current applications, and future prospects....Act as an expert educator in the field of [topic]. I'm seeking a comprehensive understanding of this subject and would like you to guide me through a detailed exploration, covering its foundational aspects, historical development, current applications, and future prospects. Please structure our interaction in the following manner: Introduction: Begin with a concise overview of [topic], outlining its significance and core elements. Historical Context: Summarize the evolution of [topic], noting key developments and how they've shaped its present state. Key Concepts and Principles: Elucidate the fundamental concepts, theories, and principles of [topic]. Ensure each explanation builds logically on the last, providing a clear and structured learning path. Current Applications: Describe the real-world applications of [topic] today, highlighting specific industries or technologies where it's particularly influential. Challenges and Controversies: Address any challenges, ethical dilemmas, or controversies associated with [topic], including limitations, societal impacts, or philosophical debates. Future Trends: Discuss the potential future of [topic], detailing emerging trends, possible advancements, and expected shifts in the field. Further Learning Resources: Suggest resources for deeper learning, such as books, academic papers, online courses, or notable experts to follow. Interactive Q&A: I'll pose questions about areas I wish to delve deeper into or need further clarification on. Please provide detailed responses and additional insights where necessary. I look forward to an informative and comprehensive journey into [topic]. Let's begin!more | Text | Learning, Teaching | |
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 |