Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...

Abstract: Brain tumors are among the deadliest diseases, leading researchers to focus on improving the accuracy of tumor classification—a critical task for prompt diagnosis and effective treatment.

Abstract: The paper is dedicated to assessing the computational complexity of the genetic algorithm as one of the key tools for solving optimization problems. The main types of algorithmic complexity ...

The genetic code is the recipe for life, and provides the instructions for how to make proteins, generally using just 20 amino acids. But certain groups of microbes have an expanded genetic code, in ...

There are few hard and fast rules in the study of life, but perhaps the closest we get is the central dogma of molecular biology: DNA is transcribed to RNA, which gets translated into proteins. The ...

DNA sequencing is one of today's most critical scientific fields, powering leaps in humanity's understanding of genetic causes of cancer, neurodegenerative diseases, and diabetes. One issue facing the ...

This repository contains my complete solutions to the legendary Karan's Mega Project List — a curated collection of programming challenges designed to improve coding skills across multiple domains.

Posts from this topic will be added to your daily email digest and your homepage feed. A new bill would hold social media platforms responsible for foreseeable algorithmic harms. A new bill would hold ...