github-actions[bot]
commented
2 months ago Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊
Note: This repo is for beginners to learn and start with Opensource we won't accept more than 10 issues from a single person, This restriction applies to Gssoc project which has a similar kind of adding folder files, Points will be reduced when we find Spam.
I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue.
You can also check our CONTRIBUTING.md for guidelines on contributing to this project.
aishikaranjan
CodeSage4
ashis2004
sanjay-kv
Is there an existing issue for this?
Feature Description
The process begins with collecting and preprocessing a large corpus of text data. This data is then tokenized, and sequences of a fixed length are created for training. The LSTM model is trained on these sequences to learn the contextual relationships between words. During training, the model adjusts its internal weights to minimize the prediction error. Once trained, the model can take an incomplete sentence as input and predict the most likely next word, continuously generating text until a coherent sentence is formed.
Use Case
LSTM-based sentence auto-completion is in text editors and word processing software, where it enhances user productivity by suggesting the next word or phrase, thereby reducing typing effort. It can also be integrated into email clients to offer smart replies or in code editors to assist with code completion.
Benefits
No response
Add ScreenShots
No response
Priority
High
Record