Communications of the ACM

Measuring What Matters in Large Language Model Performance

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...
Nature

Hey ChatGPT, write me a fictional paper: these LLMs are willing to commit academic fraud

Mainstream chatbots presented varying levels of resistance to deliberate requests for fabrication, study finds.
Hackaday

Building A Dependency-Free GPT On A Custom OS

The construction of a large language model (LLM) depends on many things: banks of GPUs, vast reams of training data, massive amounts of power, and matrix manipulation libraries like Numpy. For ...

LLMs can unmask pseudonymous users at scale with surprising accuracy

If LLMs’ success in deanonymizing people improves, the researchers warn, governments could use the techniques to unmask online critics, corporations could assemble customer profiles for ...
IEEE

A Tunable Broadband On-chip Transformer Based on Magnetic Coupling

Abstract: A broadband tunable transformer based on magnetically coupled is proposed in this paper. The magnetic flux can be altered by modulating the applied voltage. The simulations demonstrate that ...
Cyber Defense Magazine

The New AI Arsenal: Why LLMs and Transformers Matter for CISOs

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...
IEEE

A Transformer-based Convolutional Regressor to include SAR Backscatter Signals in Monitoring Alpine Grasslands

Abstract: Monitoring grasslands over the phenological season in the alpine environment using Synthetic Aperture Radar (SAR) backscatter data requires innovative approaches that can combine ...