
Together AI has launched a significant update to its inference platform, designed to give developers greater control over AI model deployment. The platform supports rapid model deployment with features like canary and blue-green updates, ensuring production-grade reliability. A closed beta for custom training, including reinforcement learning and fine-tuning, is also announced. This update emphasizes the use of open-weight models, allowing teams to integrate proprietary IP securely while maintaining control over performance and quality. The platform aims to streamline AI deployment, making it more flexible and efficient.
Read originalClaude Code's latest update, v2.1.219, introduces the Claude Opus 5 model as the new default, offering a 1M context and fast mode pricing. This release enhances sandbox security with a strict allowlist setting and improves error handling with structured failure categories. Notably, nested subagent forwarding is now supported up to a depth of three, expanding the tool's flexibility. These changes make Claude Code more robust and versatile, particularly for developers managing complex workflows.
The b10093 release of llama.cpp focuses on refining the DeepSeek4 template to ensure it behaves consistently with reference standards. This update introduces support for the DeepSeekv4 flag and integrates the DS3.2 parser for DS4, enhancing its functionality. Developers working on macOS, Linux, and Windows can benefit from improved performance, especially with Vulkan, ROCm, and CUDA technologies. The release also addresses tool result reordering and post-merge fixes, contributing to a more stable and reliable development environment. While not revolutionary, these enhancements make llama.cpp a more dependable choice for developers seeking robust AI model support.