Distributed training is a model training paradigm that involves spreading training workload across multiple worker nodes, therefore significantly improving the speed of training and model accuracy.

Orchestrate multiple AI coding agents from a single daemon. JSON-RPC over Unix sockets, SQLite-backed task queue, adapters for any CLI agent. TAP is a lightweight protocol for spawning, dispatching ...

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