From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing. Hardware is changing rapidly — not just faster GPUs, but a growing range of chips from different vendors, each with its own architecture and often tailored to specific …

Read more “From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon”

ABBELmainfigure

Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

Overview of ABBEL compared to traditional recursive summarization. Beliefs replace the full interaction history as the agent’s working context, and belief grading improves performance by supervising the contents of each belief state.. As task horizons grow, LLM contexts can’t scale forever. Self-summarization enables concise, interpretable contexts, but at a significant performance cost, especially for human …

Read more “Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction”