Records found: 10
'Apple began rolling out Apple Intelligence today: live translations in Messages/FaceTime/Phone, onscreen visual actions, developer access to models, and a Workout Buddy on Apple Watch.'
'Liquid AI unveils LFM2-VL, two open-weight vision-language models optimized for fast, low-latency on-device inference, offering 450M and 1.6B variants and easy integration via Hugging Face.'
Gemma 3 270M is a compact, 270M-parameter model by Google AI designed for energy-efficient, task-specific fine-tuning and on-device deployment with INT4 QAT support
OpenAI introduces two powerful open-weight language models, gpt-oss-120B and gpt-oss-20B, allowing users to run advanced AI locally on laptops and phones with full customization and privacy.
'SmallThinker introduces a family of efficient large language models specifically designed for local device deployment, offering high performance with minimal memory and compute requirements. These models set new standards in on-device AI capabilities across multiple benchmarks and hardware constraints.'
AMD has launched the first local AI model generator for laptops using Stable Diffusion 3.0 Medium optimized for Ryzen AI processors, enabling fast and private image generation without the cloud.
Liquid AI announces LFM2, an advanced edge AI model series delivering faster inference and training, with a novel hybrid architecture optimized for deployment on resource-constrained devices.
Google introduces Gemma 3n, a compact multimodal AI model designed for efficient edge deployment, enabling real-time processing across text, images, audio, and video on mobile and smart devices.
OpenBMB launches MiniCPM4, ultra-efficient large language models optimized for edge devices, featuring sparse attention and rapid inference that outperforms competitors with less training data.
Google DeepMind introduces Gemma 3n, a compact multimodal AI model optimized for real-time on-device performance, delivering faster response times and enhanced privacy on mobile platforms.