Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...
VentureBeat

Nvidia researchers unlock 4-bit LLM training that matches 8-bit performance

Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision ...
IEEE

A New Architecture of 4-Bit Flash ADC with Strong ARM Latch Dynamic Comparator

Abstract: Analog-to-digital Converters(ADCs) are necessary in today's electronics, converting analog information into digital data for processing and storage. Out of numerous ADC architectures, Flash ...
IEEE

Arithmetic Logic Unit using 4-bit Vedic Multipliers with Multiplexers

Abstract: This paper designs an 4-bit Arithmetic Logic Unit (ALU) based on multiplexers in order to construct Vedic multipliers in Verilog HDL. The Urdhva Tiryakbhayam Sutra, based on the 'Vertically ...
EDN

Building a 4-Bit Computer: Mitigating Metastability (Part 2)

Here are some of the main reasons why metastability may occur in our designs and some of the ways in which we can mitigate its effects In my previous column, we introduced the concept of setup and ...
EDN

Building a 4-Bit Computer: Mitigating Metastability (Part 1)

The fact that the designers of microcontrollers are so good at handling metastability explains why so few end users are aware of any potential problems As an aside, I was chatting with my ...