Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

'too' -> 'a' #5

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

'too' -> 'a' #5

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@

makemore takes one text file as input, where each line is assumed to be one training thing, and generates more things like it. Under the hood, it is an autoregressive character-level language model, with a wide choice of models from bigrams all the way to a Transformer (exactly as seen in GPT). For example, we can feed it a database of names, and makemore will generate cool baby name ideas that all sound name-like, but are not already existing names. Or if we feed it a database of company names then we can generate new ideas for a name of a company. Or we can just feed it valid scrabble words and generate english-like babble.

This is not meant to be too heavyweight library with a billion switches and knobs. It is one hackable file, and is mostly intended for educational purposes. [PyTorch](https://pytorch.org) is the only requirement.
This is not meant to be a heavyweight library with a billion switches and knobs. It is one hackable file, and is mostly intended for educational purposes. [PyTorch](https://pytorch.org) is the only requirement.

Current language model neural nets implemented:

Expand Down