Shakespeare teaching - A glimpse into classical literature meets modern AI
BardMind is an innovative implementation of a Mixture-of-Experts (MoE) language model specifically designed for Shakespearean text generation. Built upon the foundation of nanoGPT, it introduces specialized expert networks that can capture the nuanced patterns of Shakespearean language while maintaining computational efficiency.
Traditional language models often struggle with the unique characteristics of Shakespearean English:
BardMind addresses these challenges through its MoE architecture, allowing different components to specialize in various aspects of Shakespearean writing.
BardMind/
āāā config/
ā āāā train_shakespeare_moe.py
ā āāā finetune_shakespeare.py
āāā model/
ā āāā moe.py
ā āāā model.py
āāā data/
āāā shakespeare_char/
pip install torch numpy transformers datasets tiktoken wandb tqdm
python data/shakespeare_char/prepare.py
python train.py config/train_shakespeare_moe.py --device=cpu --compile=False
python sample.py --out_dir=out-shakespeare-moe --device=cpu
num_experts = 4 top_k = 2 expert_capacity_factor = 1.25 expert_dropout = 0.0 routing_temperature = 1.0
BardMind serves as an educational platform for understanding modern neural architectures:
Concept | Implementation |
---|---|
MoE Architecture | Multiple specialized networks |
Dynamic Routing | Token-based expert selection |
Sparse Activation | Top-k expert utilization |
Load Balancing | Balanced expert computation |
Conditional Computation | Context-aware processing |
num_experts = 4 top_k = 2 expert_capacity_factor = 1.25 expert_dropout = 0.0 routing_temperature = 1.0
Through this project, we've demonstrated:
This project is licensed under the MIT License - see the LICENSE file for details.