Agentic AI

Table of contents What the benchmarks show ? Architecture and inference profile Training pipeline: synthetic data + on-policy RL Role in document and web research workflows Key features of Tongyi DeepResearch-30B-A3B Summary Alibaba’s Tongyi Lab has open-sourced Tongyi-DeepResearch-30B-A3B, an agent-specialized massive language mannequin constructed for long-horizon, deep information-seeking with internet instruments. The mannequin makes use…

In this tutorial, we construct an superior voice AI agent utilizing Hugging Face’s freely accessible fashions, and we preserve the complete pipeline easy sufficient to run easily on Google Colab. We mix Whisper for speech recognition, FLAN-T5 for pure language reasoning, and Bark for speech synthesis, all related via transformers pipelines. By doing this, we…

Your purchasing agent auto-purchases a $499 Pro plan as an alternative of the $49 Basic tier—who’s on the hook: the person, the agent’s developer, or the service provider? This belief hole is a major blocker for agent-led checkout on at this time’s fee rails. Google’s Agent Payments Protocol (AP2) addresses it with an open, interoperable…

A workforce of Stanford University researchers have launched MedAgentBench, a brand new benchmark suite designed to guage giant language mannequin (LLM) brokers in healthcare contexts. Unlike prior question-answering datasets, MedAgentBench supplies a digital digital well being report (EHR) atmosphere the place AI methods should work together, plan, and execute multi-step medical duties. This marks a…

OpenAI has simply launched GPT-5-Codex, a model of GPT-5 additional optimized for “agentic coding” duties throughout the Codex ecosystem. The objective: enhance reliability, velocity, and autonomous habits in order that Codex acts extra like a teammate, not only a prompt-executor. Codex is now out there throughout the total developer workflow: CLI, IDE extensions, net, cell,…

In this tutorial, we discover the design and implementation of an Advanced Neural Agent that mixes classical neural community strategies with trendy stability enhancements. We construct the community utilizing Xavier initialization for balanced gradient move and add secure activations like leaky ReLU, sigmoid, and tanh with clipping to keep away from overflow. To stabilize coaching,…

In this tutorial, we construct an Advanced OCR AI Agent in Google Colab utilizing EasyOCR, OpenCV, and Pillow, operating absolutely offline with GPU acceleration. The agent consists of a preprocessing pipeline with distinction enhancement (CLAHE), denoising, sharpening, and adaptive thresholding to enhance recognition accuracy. Beyond fundamental OCR, we filter outcomes by confidence, generate textual content…