Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

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

The highest-scoring AI memory system ever benchmarked. And it's free.

Every conversation you have with an AI — every decision, every debugging session, every architecture debate — disappears when the session ends. Six months of work, gone. You start over every time.
IEEE

Enhanced Student Placement Prediction and Skill Recommendation System using Convolutional Neural Network- Bidirectional Long Short-Term Memory with Attention Networks

Abstract: Predicting student placement results and proposing skills is crucial in education. Current systems frequently show imprecision and inadequately analyse sequential and contextual links among ...
IEEE

Adaptive Read Threshold Optimization for NAND Flash Memory Using Micro and Macro Parameters

Abstract: This article presents a comprehensive mathematical model for the NAND Flash memory channel, designed to estimate the Raw Bit Error Rate (RBER) based on the ...