Binary Quantization, Vector Compression, Memory Efficiency, Milvus Integration
vLLM Performance Tuning: The Ultimate Guide to xPU Inference Configuration
cloud.google.com·13h
Hardware Technologies And Algorithms for Vector Symbolic Architectures (Purdue Univ., Georgia Tech)
semiengineering.com·7h
Hidden Reasoning in LLMs: A Taxonomy
lesswrong.com·6h
How terahertz beams and a quantum-inspired receiver could free multi-core processors from the wiring bottleneck
techxplore.com·11h
Some Stuff I've Been Reading
buttondown.com·11h
Debugging the Instant Macropad
hackaday.com·12h
XX-Net 5.16.5
majorgeeks.com·20h
Ultrack and inTRACKtive: A powerful pair of tools to help track cells through embryonic development
phys.org·20h
Import AI 426: Playable world models; circuit design AI; and ivory smuggling analysis
jack-clark.net·16h
Beaded metamaterials
nature.com·22h
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