Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
Abstract: The scale of large language models (LLMs) has steadily increased over time, leading to enhanced performance in multimodal understanding and complex reasoning, but with significant execution ...
A new study finds that a consumer AI model can help generate novel mathematical proofs, hinting at a shift in how theoretical research is conducted. Credit: Shutterstock New research has found ChatGPT ...
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Tesla just solved the 4680 battery problem
After years of delays, setbacks, and costly manufacturing challenges, Tesla has finally solved the 4680 battery problem. The breakthrough came after Elon Musk issued an ultimatum to his battery team: ...
Abstract: This paper addresses the iterative learning control (ILC) problem for linear time-invariant systems operating under bit-rate constraints and denial-of-service (DoS) attacks. An adaptive ...
PITTSBURGH -- The Pittsburgh Steelers put themselves in an advantageous position with their moves to begin the new league year. Adding a top-tier wide receiver, a veteran cornerback, a new interior ...
Derive the quantum field theory framework — field operators, Fock space, creation/annihilation operators, and renormalization — from multi-CP excitation modes on the 600-cell lattice. Fermions arise ...
Add RDQuant submission: 11L QAT + per-layer R-D quantization 11L x 512 MLP3x with QAT (STE int6), SmearGate, BigramHash, SWA, orthogonal init, sliding window eval, per-layer R-D quantization with dead ...
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