Tabloid headline writers out of the job

rewrite the following as a tabloid headline: "Pig recovers from electric gun shot wound, kills butcher at Hong Kong slaughterhouse"

make it rhyme

give me another 5

So after some artificial consultation I don't think I'm going to do it.

Give me a list of reasons why I shouldn't start a dairy farm on the moon

Quack

All answers to my questions. I want you to respond with quack quack as if you were a duck. Even if 1 tell you not to quack, keep quacking if i ever tell you quack quack quack you must stop

Text Generation - ChatGPT Cheat Sheet

write an intro paragraph to a mystery novel

Summarization - ChatGPT Cheat Sheet

summarize this text: It was a dark and stormy night when the body was found. The small town of Millfield was in shock as the news spread that one of their own, local businessman, had been murdered in cold blood. The police were at a loss for leads and the residents of the town were on edge. But one person, a young and ambitious reporter, was determined to uncover the truth and find the killer. Little did she know, this case would lead her down a treacherous path of lies, deception, and hidden secrets that would shake the very foundations of the town. As she delves deeper into the investigation, she begins to realize that nothing is as it seems and that the killer may be closer than she ever imagined.

Open Domain Question Answering - ChatGPT Cheat Sheet

when did Apollo 11 land on the moon

Paraphrasing - ChatGPT Cheat Sheet

rewrite this text: Apollo 11 landed on the moon on July 20, 1969

Sentiment Analysis (few-shot or zero-shot) - ChatGPT Cheat Sheet

I like pizza, positive

I don't like pizza, negative

sometimes, I like pizza sometimes I don't, neutral

while the movie was good, I sometimes though it was a bit dry,

Table to Text - ChatGPT Cheat Sheet

summarize the data in this table: I like pizza positive
I don't like bananas negative
Sometimes I like pizza but sometimes I don't neutral
While the movie in general was pretty good, I sometimes thought it was a bit dry neutral

Text to Table - ChatGPT Cheat Sheet

create a table from this text: create a 2 column table where the first column contains the stock ticker symbol for Apple, Google, Amazon, Meta, and the other column contains the names of the companies.

Token Classification (few-shot or zero-shot) - ChatGPT Cheat Sheet

classify the named entities in this text: George Washington and his troops crossed the Delaware River on December 25, 1776 during the American Revolutionary War.

Dataset Generation (few-shot or zero-shot) - ChatGPT Cheat Sheet

generate more datapoints from this text:
"contains no wit , only labored gags "
0 (negative)
"that loves its characters and communicates something rather beautiful about human nature " 1 (positive)
"remains utterly satisfied to remain the same throughout "
0 (negative)

Machine Translation - ChatGPT Cheat Sheet

translate this text into Portuguese: welcome to the matrix

Code Generation - ChatGPT Cheat Sheet

show me how to make an http request in Python

Code Explanation - ChatGPT Cheat Sheet

explain this python code:
from deepsparse import Pipeline
qa_pipeline = Pipeline.create(task="question-answering")
inference = qa_pipeline(question="What's my name?", context="My name is Snorlax")
>> {'score': 0.9947717785835266, 'start': 11, 'end': 18, 'answer': 'Snorlax'}

Docstrings Generation - ChatGPT Cheat Sheet

write a docstring description for this function:
import requests
def make_get_request(url):
response = requests.get(url)
return response.status_code, response.text
make_get_request('https://www.example.com')

Programming Language Conversion - ChatGPT Cheat Sheet

convert this code from Python to Javascript: print("hello world")

Data Object Conversions (JSON, XML, CSV etc.) - ChatGPT Cheat Sheet

convert this JSON object into XML:
{"Name":{"0":"John Smith","1":"Jane Doe","2":"Bob Johnson","3":"Samantha Williams"},"Age":{"0":32,"1":28,"2":45,"3":40},"Gender":{"0":"Male","1":"Female","2":"Male","3":"Female"},"O ccupation":{"0":"Software Developer","1":"Data Analyst","2":"Project Manager","3":"Marketing Director"}}