How do we safely let an AI agent handle real web tasks like booking, searching, and form filling directly on our own devices without sending everything to the cloud? Microsoft Research has released ...
Most production systems need several model sizes, a larger model for server side workloads, a mid size model for strong edge GPUs, and a smaller model for tight latency or power budgets. The usual ...
In this article we will analyze how Google, OpenAI, and Anthropic are productizing ‘agentic’ capabilities across computer-use control, tool/function calling, orchestration, governance, and enterprise ...
Orchestration Host routes across many servers/tools App-local chaining Agent/toolkit routes intents → operations ...
decoding MLPerf Inference v5.1 2025 results, scenarios, TTFT/TPOT, power metrics for GPUs, CPUs, accelerators, datacenter, edge ...
Hugging Face (HF) has released Smol2Operator, a reproducible, end-to-end recipe that turns a small vision-language model (VLM) with no prior UI grounding into a GUI-operating, tool-using agent. The ...
IBM has released Granite-Docling-258M, an open-source (Apache-2.0) vision-language model designed specifically for end-to-end document conversion. The model targets layout-faithful extraction—tables, ...
The year 2025 marks a turning point for Voice AI Agents, with technology reaching levels of naturalness, context-awareness, and commercial adoption that were unimaginable a decade ago. Powered by ...
Agentic RAG combines the strengths of traditional RAG—where large language models (LLMs) retrieve and ground outputs in external context—with agentic decision-making and tool use. Unlike static ...
Staying current with the latest breakthroughs, tools, and industry shifts is critical for AI developers and engineers. To help you cut through the noise, here’s a curated list of the top 10 AI-focused ...
ProRLv2 is the latest version of NVIDIA’s Prolonged Reinforcement Learning (ProRL), designed specifically to push the boundaries of reasoning in large language models (LLMs). By scaling reinforcement ...
Qwen3 incorporates a hybrid reasoning system supporting both “thinking” and “non-thinking” modes, allowing users to control computational overhead based on task complexity. The model implements ...
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