Arabic and English Translator with Next Token Prediction
This project implements a neural network-based language model for next token prediction in both English and Arabic. It explores natural language processing tasks using RNNs or LSTMs for text generation.
Project Overview
Languages: English and Arabic
Model Architecture: Recurrent Neural Networks (RNNs) or Long Short-Term Memory networks (LSTMs)
Features:
Next token prediction
Text generation
Checkpoint saving
Perplexity score tracking
Dataset: Based on the multilingual Alpaca dataset.
Dataset
The dataset used for this project is derived from the [Multilingual Alpaca Datase]
https: //huggingface.co/datasets/saillab/taco-datasets/tree/main/multilingual-instruction-tuning-dataset/multilingual-alpaca-52k-gpt-4Links, which contains multilingual instruction-tuning examples generated using GPT-4.
It includes high-quality, diverse text samples in multiple languages, including English and Arabic, making it ideal for next-token prediction …
# Arabic and English Translator with Next Token Prediction
This project implements a neural network-based language model for next token prediction in both English and Arabic. It explores natural language processing tasks using RNNs or LSTMs for text generation.
## Project Overview
- **Languages**: English and Arabic
- **Model Architecture**: Recurrent Neural Networks (RNNs) or Long Short-Term Memory networks (LSTMs)
- **Features**:
- Next token prediction
- Text generation
- Checkpoint saving
- Perplexity score tracking
- **Dataset**: Based on the multilingual Alpaca dataset.
## Dataset
The dataset used for this project is derived from the [Multilingual Alpaca Datase]
https: //huggingface.co/datasets/saillab/taco-datasets/tree/main/multilingual-instruction-tuning-dataset/multilingual-alpaca-52k-gpt-4Links, which contains multilingual instruction-tuning examples generated using GPT-4.
It includes high-quality, diverse text samples in multiple languages, including English and Arabic…
# Arabic and English Translator with Next Token Prediction
This project implements a neural network-based language model for next token prediction in both English and Arabic. It explores natural language processing tasks using RNNs or LSTMs for text generation.
## Project Overview
- **Languages**: English and Arabic
- **Model Architecture**: Recurrent Neural Networks (RNNs) or Long Short-Term Memory networks (LSTMs)
- **Features**:
- Next token prediction
- Text generation
- Checkpoint saving
- Perplexity score tracking
- **Dataset**: Based on the multilingual Alpaca dataset.
## Dataset
The dataset used for this project is derived from the [Multilingual Alpaca Dataset](https://huggingface.co/datasets/saillab/taco-datasets/tree/main/multilingual-instruction-tuning-dataset/multilingual-alpaca-52k-gpt-4Links), which contains multilingual instruction-tuning examples generated using GPT-4. It includes high-quality, diverse text samples in multiple languages, including English a…
# Arabic and English Translator with Next Token Prediction
This project implements a neural network-based language model for next token prediction in both English and Arabic. It explores natural language processing tasks using RNNs or LSTMs for text generation.
## Project Overview
- **Languages**: English and Arabic
- **Model Architecture**: Recurrent Neural Networks (RNNs) or Long Short-Term Memory networks (LSTMs)
- **Features**:
- Next token prediction
- Text generation
- Checkpoint saving
- Perplexity score tracking
- **Dataset**: Based on the multilingual Alpaca dataset.
## Dataset
The dataset used for this project is derived from the [Multilingual Alpaca Dataset]
(https://huggingface.co/datasets/saillab/taco-datasets/tree/main/multilingual-instruction-tuning-dataset/multilingual-alpaca-52k-gpt-4Links),
which contains multilingual instruction-tuning examples generated using GPT-4. It includes high-quality, diverse text samples in multiple languages, including Engli…
# Arabic and English Translator with Next Token Prediction
This project implements a neural network-based language model for next token prediction in both English and Arabic. It explores natural language processing tasks using RNNs or LSTMs for text generation.
## Project Overview
- **Languages**: English and Arabic
- **Model Architecture**: Recurrent Neural Networks (RNNs) or Long Short-Term Memory networks (LSTMs)
- **Features**:
- Next token prediction
- Text generation
- Checkpoint saving
- Perplexity score tracking
- **Dataset**: Based on the multilingual Alpaca dataset.
## Dataset
The dataset used for this project is derived from the [Multilingual Alpaca Datase]
https: //huggingface.co/datasets/saillab/taco-datasets/tree/main/multilingual-instruction-tuning-dataset/multilingual-alpaca-52k-gpt-4Links, which contains multilingual instruction-tuning examples generated using GPT-4.
It includes high-quality, diverse text samples in multiple languages, including English a…
