Binary Quantization, Vector Compression, Memory Efficiency, Milvus Integration
TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill \& Decode Inference
arxiv.org·19h
vLLM Performance Tuning: The Ultimate Guide to xPU Inference Configuration
cloud.google.com·7h
Hidden Reasoning in LLMs: A Taxonomy
lesswrong.com·46m
Hardware Technologies And Algorithms for Vector Symbolic Architectures (Purdue Univ., Georgia Tech)
semiengineering.com·1h
CatVector Demo Website
tanelpoder.com·23h
leptos-rs/leptos
github.com·21h
How terahertz beams and a quantum-inspired receiver could free multi-core processors from the wiring bottleneck
techxplore.com·6h
Debugging the Instant Macropad
hackaday.com·6h
XX-Net 5.16.5
majorgeeks.com·15h
Fast and Accurate RFIC Performance Prediction via Pin Level Graph Neural Networks and Probabilistic Flow
arxiv.org·19h
Some Stuff I've Been Reading
buttondown.com·5h
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