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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
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Priority
High
Record