Morning Overview on MSN

LLMs have tons of parameters, but what is a parameter?

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
IEEE

Intent-Based Autonomous Network Framework Guided by Large Language Model

Abstract: With the rapid development of next-generation networks, the highly heterogeneous and dynamic nature of networks poses significant challenges for automated network management. Autonomous ...
IEEE

Dynamics Enhanced Quasi-Steady-State Model of LCC-HVDC Systems Based on Neural Network

Abstract: Existing time-domain simulation of LCC-HVDC systems faces a trade-off between accuracy and efficiency. The electromagnetic transient model can accurately emulate detailed dynamic processes, ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Microsoft

VALL-E Family

VALL-E 2 is the latest advancement in neural codec language models that marks a milestone in zero-shot text-to-speech synthesis (TTS), achieving human parity for the first time. Building upon the ...
Ars Technica

Neural DSP models John Mayer’s entire amp and effects rig—and it sounds great

Guitarists today are spoiled for choice, and that goes doubly true for players who use computer-based amp modeling software. I’m one such player, and I don’t miss the size, weight, deafening volume, ...
Journal of Medical Internet Research

The Applications of Large Language Models in Mental Health: Scoping Review

The emergence and rapid development of large language models (LLMs) have shown the potential to address these mental health demands. However, a comprehensive review summarizing the application areas, ...