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Together AI has expanded its fine-tuning service to support more open-weight models, including GLM-5.3 and Kimi K2.7, and introduced live metrics tracking. The update provides finer controls over training, such as early stopping and expert LoRA adapters, enhancing the efficiency of model development. Additionally, the company has reduced prices for training on most models, making advanced AI capabilities more affordable. These improvements aim to simplify the integration of cutting-edge models into production environments.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
© The Verge AISam Witteveen · June 17, 2026 · Background
Hugging Face Blog · June 18, 2026 · Background
Matt Wolfe · June 19, 2026 · Background
Lev Selector · June 19, 2026 · Background
Lev Selector · June 26, 2026 · Background
Crunchbase News · July 2, 2026 · Background
The AI Daily Brief · July 9, 2026 · Background
Together AI Blog · July 23, 2026 · Related
Hugging Face Blog · September 15, 2026 · Background
Together AI Blog · October 19, 2026 · Same story
Matthew Berman · October 24, 2026 · Background
Apple is finally unlocking its AI suite for Chinese users with the iOS 27.3 beta, marking a significant regulatory milestone after months of approval delays. The rollout relies on Alibaba’s Qwen model rather than OpenAI, integrating features like notification summaries and visual intelligence directly into the OS. By sidestepping the new Siri in favor of established text and image tools, Apple is prioritizing immediate utility over the full generative experience. This move effectively brings Apple’s AI capabilities to a massive new market, albeit with localized constraints that distinguish it from the global release.