Google TurboQuant: 3-Bit KV Cache With Zero Accuracy Loss
A deep dive into Google TurboQuant's PolarQuant and QJL techniques — 6x KV cache memory reduction and 8x attention speedup, and what that actually means in practice.
Tags
optimization
4 posts
Optimizing AI Agent Workflows with Meta-Tools: AWO Framework Guide
Analyze the Agent Workflow Optimization (AWO) framework from arXiv research. Compile repetitive tool call patterns into meta-tools to reduce LLM calls by 12% and improve success rates by 4%.
Qwen3 Coder Next llama.cpp Graph Optimization
ggerganov restructures the llama.cpp compute graph to achieve up to 38% inference speedup for the Qwen3 Coder Next 80B model. Detailed benchmark analysis and technical breakdown.
Training an LLM on CPU in 1.2 Hours
How FlashLM v3 trained a 13.6M-parameter LLM on CPU alone in 1.2 hours with MatMul-Free ternary-weight architecture, and its implications for edge AI.