Implementation Considerations

PyTorch Implementation

TensorFlow Implementation

Hugging Face Transformers

JAX/Flax Implementation

GPU Memory Considerations

Multi-GPU Training

TPU Optimization

CPU Inference

Mixed Precision Training

Gradient Accumulation

Model Parallelism

Data Parallelism

Model Compression

Quantization

Pruning

Knowledge Distillation

ONNX Export

TensorRT Optimization

Training Metrics

Attention Visualization Tools

Memory Profiling

Performance Optimization