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AI NewsAI InfrastructureMachine Learning
Qwen-Scope: Open-Source Sparse AutoEncoders for LLM Interpretability and Steering
Qwen AI releases Qwen-Scope, an open-source suite of 14 Sparse AutoEncoders (SAEs) for Qwen3/3.5 models, enabling inference-time steering and benchmark analysis without model runs.
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AI NewsAI InfrastructureLarge Language Model
NVIDIA NeMo RL Accelerates LLM Post-Training with Lossless Speculative Decoding
NVIDIA Research integrates speculative decoding into NeMo RL v0.6.0, achieving a 1.8x rollout generation speedup at 8B scale and projecting a 2.5x end-to-end training speedup for 235B models.
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