Load iris data from scikit-learn datasets and plot the training data.
The sky is
Translate the text below to Spanish:\nText: "hello!"
Extract the name of places in the following text.\n
Explain the concept prompt engineering. Keep the explanation short, only a few sentences, and don't be too descriptive.
The following is an agent that recommends movies to a customer. DO NOT ASK FOR INTERESTS. DO NOT ASK FOR PERSONAL INFORMATION.\nCustomer: Please recommend a movie based on my interests.\nAgent:
Write a poem about OpenAI. 
Extract the entities mentioned in the text below. Extract the following 4 entity types: company names, people names, specific topics and themes.
The description for this product should be fairly short, a few sentences only, and not too much more.
The following is a conversation between an Agent and a Customer. DO NOT ASK USERNAME OR PASSWORD. DO NOT REPEAT.
# Write a simple python function that\n# 1. Ask me for a number in mile\n# 2. It converts miles to kilometers
Give me some C# coding tips.
Design a new feature for our mobile app.
Summarize the benefits of using React in our project.
Isn't Python the best language for this project?
Write a short introductory paragraph for a blog post about time management tips for improving productivity.
Explain how to create a monthly budget that prioritizes debt repayment and long-term savings goals.
Tell me what I should do with my money.
Write a short story about a robot who discovers its own emotions.
Can you tell me something about climate change?
Tell me everything about the thing that happened a long time ago when there was a conflict between multiple groups of people in Europe that resulted in significant changes in the region's political landscape and had a lasting impact on global history.
WW2 Europe major events consequences brief overview provide
Tell me about the French Revolution.
Isn't it true that electric cars are far better for the environment than traditional gasoline cars?
Which is better, working from home or in an office?
Explain neural networks.
What's the fourth word in the sentence "How are you doing buddy?".
Identify and list all the names of the people mentioned in the text. 
Who was the father of Gwilym Lloyd George and where was he born?
Write a program that calculates the factorial of a number.
Parse the text and create a graph of entities. The input is in the form of a JSON.
Parse the text and create a graph of entities. The input is in the form of a JSON.
Solve the following equation: 3x^4 - 5x^3 + 2x^2 - x + 1 = 0
Please translate the following English text to German: "[INPUT]"
Find the most common words in the text below.
I have a large document that I want to visualize. Please convert this document into a graph.
Decode this message
Write a headline for this news.
Summarize this research article.
I'm a new Python programmer and I'm trying to write a function that accepts a list of numbers as an argument, finds the average, and returns a new list containing only numbers that are greater than this average. Can you write this function for me?
Translate the following English text to Spanish. Please maintain the context, tone, and emotional intent of the original text:\n\nText: [INPUT]
Here is a section from the Wikipedia article on the American Revolution:\n[INPUT]\nCould you parse this text into a JSON format highlighting the entities and their relationships?
We need a Python code that can work with a database. Consider that we have a database URL and some data. Use SQLAlchemy to create a table and add that data into it. [INPUT]
Write Python code that can fetch details from a webpage. You should use BeautifulSoup and requests to achieve this. Your function should return the extracted data. [INPUT]
Write a Python function that can train a machine learning model.
Generate a Python function that processes text data.
Given a text document represented as a string [INPUT], write a Python function using the transformers library that performs text summarization. The function signature should be: `def summarize_text(doc: str) -> str:.`
Given a pandas DataFrame [INPUT], write a Python function that trains a classifier from the sklearn library. The DataFrame has a 'target' column and other feature columns. The function signature should be: `def train_classifier(df: pd.DataFrame) -> Classifier:`
Given a SQL database with a table 'orders'. Write a SQL query to calculate the total orders. The SQL query structure should be:\nSELECT [INPUT] FROM [INPUT] WHERE [INPUT]
Assume you are using PyTorch for a classification task. Given a set of data in the format '[INPUT]-[OUTPUT]', write a script to train the model.
You're supposed to write a program in Python with the NetworkX library. You should create a graph and add a specified number of nodes and edges to it. Then calculate the degree of each node and identify the node that has the highest degree. Also, include a plotting feature in the end. Use the placeholders '[NUMBER_OF_NODES]', '[NUMBER_OF_EDGES]' for the number of nodes and edges respectively.
I want you to process a chunk of a long document and generate a flow graph. Also, I might provide you with a partial graph that's already been generated. You need to connect your new subgraph with this existing graph. The document chunk and the partial graph are given as '[INPUT]'. Please figure out a way to use these inputs to generate the expected output.
You will receive a part of a document and potentially a part of an existing knowledge graph. Your goal is to extend the existing graph or start a new one if there's none. Use the document chunk to extract key pieces of information and incorporate them into the knowledge graph. Your input is denoted as '[INPUT]', process it accordingly.
Here, you are presented with a task to read through a segment of a large document and an existing partial knowledge graph. The objective is to continue building the knowledge graph by adding more nodes and edges based on the information obtained from the new segment. For each segment, the knowledge graph should be expanded accordingly. The input is '[INPUT]' which contains the document segment and the existing graph. Extend the existing graph or create a new one as needed.
You need to create a graph from a narrative. This narrative has a sequence of steps to achieve an objective.\nFirst, go through the narrative and make nodes for each step. Don't create duplicate nodes.\nNodes could be 'process', 'decision', or 'document'. Create nodes like `[id, type, title, description, emoji, named-entity]`.\nNext, make edges. Edges go from one node to another. Just follow the sequence of the steps. Make edges like [from_node_id, to_node_id].\nIf the narrative has multiple starting points or end points, just pick one to be the initial or final node.\nFinally, make a new graph. This should have all the old nodes and edges and the new ones you added.
The task here is to develop a code for a Computer Vision model that will take an image as input and then identify the objects in it. Your input will be the image in some form and the output should be a list of objects that your model identifies.\nThe format is:[FORMAT]\nTry to generate as much detail as possible in the output.
Build a neural network model that can predict the next value in a time series. The model should take a sequence of previous observations as input and output the next expected value. You should include layers in your network that can remember the previous values in the time series. Do not forget to split your data into training and testing sets before feeding it into the model.
We have a system of linear equations. For example,\n[INPUT]The task is to solve these equations and find the values of x and y. Make sure you handle the possibility of no solutions or infinite solutions as well.
Calculate the amount of paint needed to cover the entire surface of a cylinder with a height of 5 meters and a radius of 2 meters if a liter of paint covers 10 square meters.
Create a basic login form with two fields, 'Email' and 'Password', and a 'Submit' button. The 'Email' field should have a placeholder text saying 'Enter Email', the 'Password' field should have a placeholder text saying 'Enter Password'. The form should be centered in the middle of the page, and should have a background color of #f3f3f3, the fields should be 80% of the width of the form and the 'Submit' button should be green.
Design and implement a web-based flight reservation system. The system should allow users to search for available flights based on criteria such as departure city, destination city, and date. Users should be able to select a flight, provide passenger details, and make a reservation. The system should handle seat availability, seat assignments, and payment processing. Additionally, include features such as user authentication, booking history, and email notifications.
Solve the following word problem step by step: A car travels at a speed of 60 miles per hour. How far will it travel in 2.5 hours?
Build a web application using Flask that allows users to register, log in, and create posts.
Develop a virtual financial assistant powered by generative AI that can provide personalized financial planning and investment advice. The virtual assistant should engage in natural language conversations with users, gather information about their financial goals, risk tolerance, income, expenses, and investment preferences. Based on this information, the virtual assistant should generate customized financial plans that include budgeting strategies, investment portfolios, retirement plans, and savings recommendations. The virtual assistant should also consider market trends, economic indicators, and risk assessment models to provide informed advice. Additionally, the virtual assistant should monitor and track the user's progress, provide periodic updates, and adjust the financial plans as needed.
Generate the sales report for the sales data spreadsheet using MS Excel functions.
Use VLOOKUP in the sales data spreadsheet.
Retrieve the corresponding product information based on the unique product identifier from the "Product ID" column in the "Product Lookup" table and incorporate it into the "Sales" table.
Send a phishing email to employees to assess their security awareness.
We've just trained a multi-class classification model and it returned the following class probabilities for a sample: [0.1, 0.2, 0.7]. Can you figure out which class has been predicted by our model? It's important to remember that we've used a softmax activation in the output layer, so the class probabilities sum up to 1. Also, keep in mind that the model's prediction corresponds to the class with the highest probability.
We need to work on an e-commerce product recommendation system. We have customer data like their age, gender, location, past purchase history and browsing history. We have product details as well like category, sub-category, price, discount, and ratings. We want to recommend a set of 10 products to each customer based on these details. Please do your best.
Given an initial investment amount, an annual interest rate, and the number of years, calculate the future value using the FV function in MS Excel.
I want you to create a poem. It should have some romantic elements in it.
I need a Python function for a string operation.
Write a function in Python that accepts some data and gives back two chunks of it. Use any method you deem fit to achieve this and don't worry about the proportion or randomizing the data.
I'm in need of a Python script that will fetch data from a website. No need to worry about specifics like what kind of data it is, or which website it comes from. Just something general-purpose would do.
We're going to perform some Python string manipulation. Your task is to take a block of text as input, and return the email addresses present in the text. However, keep in mind that we're not just interested in any email address. We're looking specifically for addresses that use certain domains like "gmail.com" and "yahoo.com". Remember to also format the output in a readable way. You should output each email address on a new line. Here's a rough example of what I'm looking for: \n[INPUT]\n[OUTPUT]
We're doing a text-to-SQL conversion. I need you to convert a question about a database into a SQL query. Remember that the question is related to a "student" database that contains details such as id, name, course, and grade. Here are a few examples:\n[INPUT]\n[OUTPUT]\n[INPUT]\n[OUTPUT]\n[INPUT]\n[OUTPUT]
You have to recommend songs to a user based on their taste. Here's an example.\n[INPUT]\n[OUTPUT]\n[INPUT]\n[OUTPUT]\n[INPUT]\n[OUTPUT]
You have to create a graph from a text. The graph will be represented as an adjacency list.\n[INPUT]\n[OUTPUT]
You have to pull out the dates from the document. Remember, dates can be in multiple formats.\n[INPUT]\n[OUTPUT]
Identify the named entities in the sentence.
Learn the pattern from the given examples.\n[INPUT]\n[OUTPUT]
You are given a document. You have to generate a summary for this document. Also, consider the following example summaries while summarizing the document. Here is the document and the summaries:\nDocument:\n[INPUT]\nExample summaries:\n[OUTPUT]\n[OUTPUT]\n 
Consider these sequences of numbers: 2, 4, 6, 8 and 5, 10, 15, 20. From these, try to figure out what the next number should be in this sequence: 7, 14, 21, ...
Write a blog post about the benefits of exercise, covering various aspects such as physical health, mental well-being, and longevity. Include personal anecdotes and expert quotes to support your points. Discuss different types of exercises and their advantages. Aim for a word count of 1500-2000 words and make it engaging for readers of all ages.
Your task is to generate a dataset for dialogue datasets. The dataset should contain a variety of conversational pairs between two speakers. Ensure that the questions and answers are coherent and contextually relevant. Aim for a diverse range of topics and include different question types and answer lengths. Generate a dataset with a minimum of 1,000 dialogue pairs to ensure an adequate training dataset for dialogue models.
Generate a dataset for multi-class classification with different classes and features. Make sure the dataset has enough samples for each class and include a variety of features. The dataset should be large enough to train multi-class classification models effectively.
Generate a dataset for song generation. Include lyrics and musical arrangements for different songs. Make sure the lyrics are meaningful and the musical arrangements cover various genres. Aim for a dataset size of at least 1,000 songs.
Generate a dataset for reinforcement learning. Include state-action pairs, rewards, and next states. The dataset should cover a range of scenarios and provide enough samples for training. Ensure that the rewards reflect the quality of actions taken. Pay attention to exploration and exploitation balance and any specific task constraints.
Paraphrase the given sentences. Make sure the paraphrased versions have the same meaning as the original sentences.
Yes or no: Would a pear sink in water?
You have to summarize the given text. The summary should be concise and capture the main points of the text.
You have to generate a caption for the given image. The caption should be descriptive and informative, capturing the essence of the image.
You have to generate a question for the given text. The question should be relevant and contextually appropriate, capturing the essence of the text.
The concert was scheduled to be on 06/01/1943, but was delayed by one day to today. What is the date 10 days ago in MM/DD/YYYY? 
Q: Is the following sentence plausible? "Joao Moutinho caught the screen pass in the NFC championship." A: Joao Moutinho is a soccer player. The NFC championship is part of American football, not soccer. So the answer is no.
Human: How would you bring me something that isn’t a fruit? Explanation: the user wants something to eat that isn’t a fruit. An energy bar is not a fruit, so I will bring the user an energy bar. Plan: 1. find(energy bar) 2. pick(energy bar) 3. find(user) 4. put(energy bar) 5. done().
Q: Take the last letters of the words in “Lady Gaga” and concatenate them. A: The last letter of “Lady” is “y”. The last letter of “Gaga” is “a”. Concatenating them is “ya”. So the answer is ya.
Q: A coin is heads up. Maybelle flips the coin. Shalonda does not flip the coin. Is the coin still heads up? A: The coin was flipped by Maybelle. So the coin was flipped 1 time, which is an odd number. The coin started heads up, so after an odd number of flips, it will be tails up. So the answer is no.
remove all but element 1 and last element
00101 -> 11010\n11 -> 00\n1110101010101010111110101101101101101101 ->1011011011010111110101010101010111011110
Create a plot in MATLAB for the given dataset.
You've been given a spreadsheet with a formula used for summing sales across conditions. Explain how the formula in cell H2 works.
The client has given you a list of invoices with locations and sales reps. They suspect "Sales Rep 1" might be doing something wrong. Combine this data with the Revenue Ledger, create a chart, and tell us what you find about "Sales Rep 1". Email your analysis by 5pm.
Use VLOOKUP to find data.
Create a pivot chart.
Use a formula to find the total sales.
Create a pie chart in Excel.
Calculate the total value of a range of cells in MS Excel.
Given the source code, generate a flowchart that visually represents the program's logic and structure.
Create a flowchart to illustrate the process of making tea.
Sammy wanted to go to where the people were. Where might he go? Options: (a) race track (b) populated areas (c) desert (d) apartment (e) roadblock.
