XDA Developers on MSN

I tested Google's new Gemma 4 12B on my 8GB GPU, and now I don't want to go back to smaller models

Not bad for limited hardware ...
Microsoft

LLM can Read Spectrogram: Encoder-free Speech-Language Modeling

Recent speech-aware large language models (Speech-LLMs) rely on a pre-trained speech encoder to convert audio into semantic-rich representations consumable by LLM. In this work, instead, we explore: ...
TechCrunch

Amazon CEO reportedly raised Anthropic model concerns before government crackdown

Amazon CEO Andy Jassy may have been the source of security concerns that led Anthropic to cut off worldwide access to two models on Friday. The Wall Street Journal reports that Jassy told Treasury ...
VentureBeat

Google's new open source Gemma 4 12B analyzes audio, video — and runs entirely locally on a typical 16GB enterprise laptop

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 While many AI open source model providers are pursuing larger and more powerful models, Google is still giving attention to the smaller, more ...
IEEE

A Novel Method With Encoder-Decoder for Cross-Sensor Adaptation in Surface Shape Sensing With Sparse Strain Sensors

Abstract: Performance variations in sensor arrays, caused by intrinsic differences or installation conditions, can lead to inconsistent results during shape sensing. To obtain accurate results, a ...
GitHub

Confucius4-TTS: a Multilingual and Cross-Lingual Zero-Shot TTS Engine

Confucius4-TTS is an advanced LLM-based text-to-speech (TTS) system designed for multilingual and cross-lingual speech synthesis. Built on a speech encoder + large language model (LLM) architecture, ...
GitHub

Simple gguf LLM Qwen3-VL, Qwen3.5, Qwen3.6, Gemma4 and others model loader for Comfy-UI.

Version 0.3.17 or latest supports qwen3-VL. Version 0.3.30 or latest supports qwen3.5. Version 0.3.35 or latest supports gemma4.
IEEE

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Abstract: Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of ...
Microsoft

One Head, Many Models: Cross-Attention Routing for Cost-Aware LLM Selection

The proliferation of large language models (LLMs) with varying computational costs and performance profiles presents a critical challenge for scalable, cost-effective deployment in real-world ...