LSTM-AIChatPersian

Public

This project develops a Persian RAG chatbot using LSTM with attention, Self-Supervised Learning, embedding, tokenization, Google API integration, and Redis for recall. Optimizers like Adam and RMSprop, along with regularization (L1, L2) and data augmentation, enhance the model. Performance is evaluated through BLEU, ROUGE, and METEOR metrics.

ai chatbot conversational-ai data-science deeplearning llama3 lstm machinelearning nlp nlp-machine-learning

Creat：2024-11-15T17:25:48

Update：2025-01-14T13:43:57

https://arshava.framer.ai/

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