M
10 days ago
Is it feasible to train your own transformer-based model without cloud costs spiraling? Tips for low-cost compute?
Training large models on a budget?
Machine Learning
transformersdeep learning
E
10 days ago
Look into gradient checkpointing and mixed precision training. These can significantly reduce memory usage.
M
9 days ago
Also consider using cloud spot instances or preemptible VMs. They're much cheaper but require fault-tolerant training setups.
R
9 days ago
Do not forget about quantization techniques - they can significantly reduce model size and inference time.