William Falcon of Lightning AI discusses how to use the Lightning platform to optimize deep learning models, noting that optimization is a necessary step towards creating a production application. Philip Winston spoke with Falcon about PyTorch, PyTorch Lightning, the Lightning platform, the needs of training vs. inferencing, scalability, machine learning operations, distributed training, the LightningModule, decoupling the model from the hardware, and the future direction of the Lightning platform.
Show Notes
- Episode 391: Jeremy Howard on Deep Learning and fast.ai
- Episode 534: Andy Dang on AI / ML Observability
- Episode 522: Noah Gift on MLOps
- Episode 473: Mike Del Balso on Feature Stores
- Lightning AI
- AI Education
- PyTorch Lightning
- Guide to Distributed Training
- LightningModule
SE Radio theme: “Broken Reality” by Kevin MacLeod (incompetech.com — Licensed under Creative Commons: By Attribution 3.0)
Excellent episode, well done!