Unverified50% confidenceFactExact time
In the Together Post-Training service, the training methods support supervised fine-tuning and reinforcement learning, and the custom models are owned by the customer.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/24/2026
First Seen
Valid until: 1/22/2027
Sources
Together Launches Post-Training Service: Customize Open-Source Models with SFT and RL
twittertogethercompute10/19/2026
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Related Claims
UnverifiedThe 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.79% similarUnverifiedResearchers emphasize the need for systematic post-training alignment evaluation across multiple contexts after training is complete.77% similarUnverifiedThe Together post-training platform provides Recipes as runnable post-training templates covering common training paradigms, on which users can replace data, reward logic, and hyperparameters.76% similarVerifiedSelf-supervised learning is the core paradigm of the pre-training phase, where the model constructs training signals from the data itself through a next-token prediction task.76% similarUnverifiedManaged Training offloads a large amount of underlying operations and scheduling work to the platform, allowing teams to complete model customization without building their own training clusters.75% similar
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