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Machine Learning · Shipped

TextGen

A natural-language generation app — Bi-LSTM/LSTM networks combined with a pre-trained LLM, tuned with attention mechanisms and prompt engineering for coherent, contextually relevant text.

Overview

A natural-language generation app — Bi-LSTM/LSTM networks combined with a pre-trained LLM, tuned with attention mechanisms and prompt engineering for coherent, contextually relevant text.

What I built

  • Bi-LSTM + LSTM architecture combined with a pre-trained LLM, trained and served with PyTorch

  • Attention mechanisms + prompt engineering for contextual coherence

  • BLEU/ROUGE evaluation against reference text, plus an interactive Streamlit UI for live generation

Built with

PythonPyTorchLSTMStreamlit