Efficient
Meet SmallThinker: A Family of Efficient Large Language Models LLMs Natively Trained for Local Deployment
The generative AI landscape is dominated by massive language models, often designed for the vast capacities of cloud data centers. These models, while powerful, make it difficult or impossible for everyday users to deploy advanced AI privately and efficiently on local devices like laptops, smartphones, or embedded systems. Instead of compressing cloud-scale models for the…
Announcing Gemma 3n preview: powerful, efficient, mobile-first AI- Google Developers Blog
Following the exciting launches of Gemma 3 and Gemma 3 QAT, our family of state-of-the-art open models capable of running on a single cloud or desktop accelerator, we’re pushing our vision for accessible AI even further. Gemma 3 delivered powerful capabilities for developers, and we’re now extending that vision to highly capable, real-time AI operating…
This AI Paper from NVIDIA and SUTD Singapore Introduces TANGOFLUX and CRPO: Efficient and High-Quality Text-to-Audio Generation with Flow Matching
Text-to-audio generation has transformed how audio content is created, automating processes that traditionally required significant expertise and time. This technology enables the conversion of textual prompts into diverse and expressive audio, streamlining workflows in audio production and creative industries. Bridging textual input with realistic audio outputs has opened possibilities in applications like multimedia storytelling, music,…