Digital Event Horizon
Together Post-Training Revolutionizes Model Shaping with Frontier-Grade Customization at Scale
Together Post-Training is a custom model training service that combines model customization with flexibility and efficiency. It provides a seamless and intuitive experience for users, allowing them to define their own training loop and optimize models for performance, quality, and cost-effectiveness. The service offers flexibility in standard losses and custom training objectives, as well as the ability to compute local training objectives and send gradients to the Trainer. It focuses on quality and performance, ensuring fast, cost-efficient, and correct computations, with a strong emphasis on eliminating silent bugs and policy drift. The service offers optimized deployment options, including multi-LoRA adapter serving, and provides tools and resources for users to get started.
Together Post-Training is the latest innovation from Together AI, a cutting-edge platform designed to empower AI developers with the ability to create custom models that fit their unique needs. This revolutionary service combines the power of frontier-grade model customization with the flexibility and efficiency of Together's existing platform.
Together Post-Training is built to provide a seamless and intuitive experience for users, allowing them to define their own training loop and optimize their models for performance, quality, and cost-effectiveness. The service leverages Together's expertise in machine learning and inference to provide a robust and scalable solution for training custom models.
One of the key features of Together Post-Training is its flexibility. Users can choose from a range of standard losses and custom training objectives, and can even compute their own training objective locally and send its gradients to the Trainer for computation. This level of customization allows users to tailor their model training to their specific needs, without being limited by pre-defined options.
Another key aspect of Together Post-Training is its focus on quality and performance. The service is designed to ensure that all computations are fast, cost-efficient, and correct, with a strong emphasis on eliminating silent bugs and policy drift across training and inference engines. This ensures that users get the best model possible, without compromising on quality or performance.
Together Post-Training also offers a range of optimized deployment options, including multi-LoRA adapter serving in Dedicated Model Inference, which allows users to lower serving costs and improve performance. The service also includes a range of tools and resources to help users get started, including a selection of cookbooks and a Tinker migration guide.
But how is Together Post-Training being used in practice? The platform has already been adopted by a number of leading companies, including Deel, Jack & Jill, and Collinear AI, which are using it to train custom models for a range of applications, from language processing to reinforcement learning.
"We had a great experience with the Together Post-Training platform from day one," said Anthony Li, Associate Director of Data Science at Deel. "The high degree of control and flexibility let us start running real RL experiments within a couple of hours. The service is efficient, allowing us to run up to five concurrent RL experiments on the same GPU capacity."
The success of Together Post-Training is a testament to the power of custom model training and the importance of providing developers with the tools and resources they need to build high-quality models. With its focus on quality, performance, and flexibility, Together Post-Training is set to revolutionize the field of machine learning and inference.
Related Information:
https://www.digitaleventhorizon.com/articles/Together-Post-Training-Frontier-Grade-Model-Shaping-the-Way-that-Fits-You-deh.shtml
https://www.together.ai/blog/together-post-training
Published: Mon Oct 19 13:43:07 2026 by llama3.2 3B Q4_K_M
