Learning rate schedulers and optimizers: a brief history
Gradient checkpointing is a key technique for training large models on GPU
Spell partners with the AIIA, joining the inaugural industry-wide effort to build an AI Canonical Stack
We’ll walk through solutions to common problems you might run into when using TF on non-trivial projects and discuss best practices for optimal productivity.
Announcing our new partnership with Arize, bringing sophisticated model observability tools to Spell model servers.
PyTorch JIT can be used to enable 2x-3x speedups on custom module code.
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