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Training & Finetuning: Added LoRA for efficient finetuning, improved the autotuner for cross-chip heterogeneous training, and enabled distributed RWKV training.
Inference & Serving: Introduced DiffusionEngine for FLUX.1-dev, Qwen-Image, and Wan2.1-T2V, support multi-model automatic orchestration and dynamic scaling.
Embodied AI: Full lifecycle support for Robobrain, Robotics, and PI0, plus semantic retrieval for MCP-based skills for RoboOS.
Elastic & Fault Tolerance: Detect task status automatically (errors, hangs, etc.) and periodically record them.
Hardware & System: Broader chip support, upgraded patch mechanism with file-level diffs, and enhanced CICD for different chips.