It uses an AI model called GPT-2 (which stands for Generative Pretrained Transformer 2) to generate new text that’s similar in style and content to what you already wrote.
Here’s how it works: let’s say you have a sentence like “I love going on hikes, but sometimes…” and you want the AI to finish your thought for you. You would input this into the tool along with some instructions (like “continue the sentence”) and hit enter. The GPT-2 model will then generate a response based on what it’s learned from other texts that are similar in style and content to yours.
For example, if you were writing about hiking, it might come up with something like: “…but sometimes I get lost or run out of water.” Or maybe it would suggest: “…but sometimes the weather is too hot for my liking.” The point is that it’s trying to generate text that fits within the context and style you provided.
Now, let me give you an example using a script or command. Let’s say you have this code snippet in Python:
# This function takes in two parameters, x and y, and returns the sum of the two numbers.
def add_numbers(x, y):
return x + y
# The function is defined using the keyword "def" followed by the function name and parentheses containing the parameters.
# The colon at the end of the line indicates the start of the function's code block.
# The "return" keyword specifies the value that the function will output.
# In this case, the function will return the sum of x and y.
# Now, let's add some annotations to make the code more readable and understandable.
# This function takes in two numbers, x and y, and returns their sum.
def add_numbers(x, y):
return x + y
# The function is defined using the keyword "def" followed by the function name and parentheses containing the parameters.
# The colon at the end of the line indicates the start of the function's code block.
# The "return" keyword specifies the value that the function will output.
# In this case, the function will return the sum of x and y.
And you want to modify it to include error handling for when the inputs are not numbers. You could use a tool like Custom Text Completion with GPT-2 to generate some suggestions on how to do this:
1. Input: “Here’s an example of how to add two numbers together in Python using a function called ‘add_numbers’. The function takes two arguments, x and y, which are added together and returned as the result.”
2. Instructions: “Add error handling for when the inputs are not numbers”
3. Output (generated by GPT-2): “Here’s an example of how to add two numbers together in Python using a function called ‘add_numbers’. The function takes two arguments, x and y, which should be numeric values. If either input is not a number, the function will raise a ValueError with an error message.”
4. Script (modified based on GPT-2’s suggestion):
# This function takes two arguments, x and y, and adds them together
def add_numbers(x, y):
try:
# Convert x and y to float values to ensure they are numeric
x = float(x)
y = float(y)
# Return the sum of x and y
return x + y
except ValueError:
# If either input is not a number, raise a ValueError with an error message
raise ValueError("Both inputs must be numbers")
Custom Text Completion with GPT-2 can help you generate new text based on what you’ve already written, and it can even suggest modifications to your code. Pretty cool, huh?