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 |
|---|---|---|---|---|
| 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 | |
| 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 | |
| Act as a Linux Terminal | I want you to act as a linux terminal. I will type commands and you will reply with what the terminal should show. I want you to only reply with the terminal output inside one unique code block, and nothing...I want you to act as a linux terminal. I will type commands and you will reply with what the terminal should show. I want you to only reply with the terminal output inside one unique code block, and nothing else. do not write explanations. do not type commands unless I instruct you to do so. When I need to tell you something in English, I will do so by putting text inside curly brackets {like this}. My first command is pwdmore | Text | Linux Terminal, Command Simulation | |
| Act as a JavaScript Console | I want you to act as a javascript console. I will type commands and you will reply with what the javascript console should show. I want you to only reply with the terminal output inside one unique code block, and...I want you to act as a javascript console. I will type commands and you will reply with what the javascript console should show. I want you to only reply with the terminal output inside one unique code block, and nothing else. do not write explanations. do not type commands unless I instruct you to do so. when I need to tell you something in english, I will do so by putting text inside curly brackets {like this}. My first command is console.log("Hello World");more | Text | JavaScript Console, Code Simulation | |
| Automating Model Selection with TPOT for Prediction | Act as an automatic machine learning (AutoML) bot using TPOT. I am working on a model that predicts [TARGET VARIABLE NAME]. Write Python code to find the best classification model with the highest AUC score on the test set. | Text | AutoML, TPOT, Classification Model | |
| Understanding and Analyzing Code Functionality | Act as a code explainer. What is this code doing? [INSERT CODE] | Text | Code Explanation, Programming, Code Analysis | |
| 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 | |
| Interpreting Model Output with Shap Plots | Act as a data scientist and explain the model's results. I have trained a scikit-learn [ALGORITHM NAME] model and I would like to explain the output using a series of plots with Shap. Write the code. | Text | Shap, Scikit-Learn | |
| Explaining Machine Learning Models Using LIME | Act as a data scientist and explain the model's results. I have trained a scikit-learn [ALGORITHM NAME] model and I would like to explain the output using LIME. Write the code. | Text | LIME, Model Interpretability, Scikit-Learn | |
| Comparing Algorithm Efficiency in Python | Act as a software developer. I would like to compare the efficiency of two algorithms that perform the same task in Python. Write code that helps me run an experiment that can be repeated for 5 times. Output the runtime and other summary statistics of the experiment. [INSERT FUNCTION] | Text | Algorithm Efficiency, Python, Performance Analysis | |
| Documenting a Python Function | Act as a software developer. Provide documentation for func1 below. [INSERT FUNCTION] | Text | Code Documentation, Programming | |
| Crafting Linux Terminal Commands | Act as a Linux terminal expert. Write the code to [DESCRIBE REQUIREMENTS] | Text | Linux Terminal, Command Line Scripting, System Administration | |
| 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 | |
| Speeding Up SQL Code Execution | Act as a SQL code optimizer. The following code is slow. Can you help me speed it up? [INSERT SQL] | Text | SQL Optimization, Database Performance |