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.

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

fix(link-redirection): ensure consistent lowercase paths for navigation #414

Merged
merged 1 commit into from
Jan 2, 2025
Merged
Changes from all commits
Commits
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
6 changes: 3 additions & 3 deletions examples/confidential-ml/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -56,14 +56,14 @@ We build two simple RNN-based models,
(1) *code generation*:
This code generation model is currently not based on transformer models on which the state-of-the-art models such as ChatGPT rely.
Instead, it simply works like a text classification model that takes a sentence like "write a function to add two numbers" and matches it to one of functions in a pre-defined list.
See [this](./CODE_MODEL.md) to know instructions to play around with this model.
See [this](./code_model.md) to know instructions to play around with this model.
If you are interested in what this model is like, see [this python script](./model-provider/model_code.py).

(2) *word prediction*: (Note that this model is not actively supported as of now.)
It takes three characters as input and makes a prediction of five word letter, that is, it aims to predict the following two characters.
For example, if you type in "abo" as input, this model may output "about".
See [this](./WORD_MODEL.md) to know instructions to play around with this model.
See [this](./word_model.md) to know instructions to play around with this model.
If you are interested in what this model is like, see [this python script](./model-provider/model.py).

As these two models are not build to show how good they are in terms of ML accuracy,
we think they are good enough to prove the concept of Islet.
we think they are good enough to prove the concept of Islet.
Loading