What Google's TurboQuant can and can't do for AI's spiraling cost

What Google's TurboQuant can and can't do for AI's spiraling cost ...

TurboQuant: Google aims to curb the memory hunger of large LLMs

Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.
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Word problem vectors find the resultant vector

I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips.
IEEE

State Difference Sensitivity-based Control Vector Parameterization Refinement Approach for Optimal Control Problems

Abstract: To improve the optimization performance of control vector parameterization (CVP) method for optimal control problems, a refinement CVP method based on the state difference sensitivity is ...
IEEE

An Efficient Protocol for the Problem of Secure Two-party Vector Dominance

Abstract: The problem of secure two-party vector dominance requires the comparison of two vectors in an "all-or-nothing" way. In this paper we provide a solution to this problem based on the ...