Post-training Platform
A platform that packages distributed training frameworks, environment management, experiment tracking and compute scheduling as a managed service. It lowers the engineering barrier to post-training experiments such as reinforcement learning.
Timeline (last 90 days)
The post-training platform packages distributed training frameworks, environment management, experiment tracking, and compute scheduling as a hosted service, so users only need to provide data and reward logic to start experiments.
Platformization brings new considerations: the degree of dependence on the platform's abstraction layer, the portability of experiments, and cost transparency are all factors teams need to weigh when choosing.
For small and medium-sized teams without a large ML infra team, post-training platforms can also provide experiment throughput approaching that of big companies.
All Facts (3)
The post-training platform packages distributed training frameworks, environment management, experiment tracking, and compute scheduling as a hosted service, so users only need to provide data and reward logic to start experiments.
50%UnverifiedPlatformization brings new considerations: the degree of dependence on the platform's abstraction layer, the portability of experiments, and cost transparency are all factors teams need to weigh when choosing.
50%UnverifiedFor small and medium-sized teams without a large ML infra team, post-training platforms can also provide experiment throughput approaching that of big companies.
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