Model Optimization, Inference Engines, LLM Quantization, Privacy-focused Deployments
Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training
arxiv.org·1d
Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.”
towardsdatascience.com·2h
RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1
arxiv.org·15h
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
arxiv.org·1d
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
arxiv.org·1d
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