Editors Pick – Page 3 – The TechBriefs

Liquid AI Releases LFM2-VL: Super-Fast, Open-Weight Vision-Language Models Designed for Low-Latency and Device-Aware Deployment

Liquid AI has officially released LFM2-VL, a new family of vision-language foundation models optimized for low-latency, on-device deployment. With two […]

ZenFlow: A New DeepSpeed Extension Designed as a Stall-Free Offloading Engine for Large Language Model (LLM) Training

The DeepSpeed team unveiled ZenFlow, a new offloading engine designed to overcome a major bottleneck in large language model (LLM) […]

Deep Learning Framework Showdown: PyTorch vs TensorFlow in 2025

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved […]

Google AI Released 5 New AI Agents/Platforms for Developers

Google Cloud recently unveiled five specialized AI agents designed to streamline developer workflows—reducing manual effort, accelerating analysis, and lowering the […]

Migrating to Model Context Protocol (MCP): An Adapter-First Playbook

Model Context Protocol (MCP) has rapidly emerged as a universal standard for connecting AI models to diverse applications, systems, and […]

Hello, AI Formulas: Why =COPILOT() Is the Biggest Excel Upgrade in Years

Microsoft has officially introduced the COPILOT function in Excel for Windows and Mac, bringing the power of large language models […]

Signal and Noise: Unlocking Reliable LLM Evaluation for Better AI Decisions

Evaluating large language models (LLMs) is both scientifically and economically costly. As the field races toward ever-larger models, the methodology […]