Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.
TurboQuant on llama.cpp uses a two-stage pipeline to compress KV cache by ~5.3x. Stage 1 (Rotation): A randomized Fast Walsh-Hadamard Transform (FWHT) rotates the KV vectors to normalize their ...
This the official implementation of the paper: Detecting and Defending against Adversarial Attacks on Automatic Speech Recognition via Diffusion Models. We defend against adversarial attacks on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results