Agent

Quality assurance (QA) testing has long been the backbone of software development, but traditional QA approaches have not kept pace with modern development cycles and complex UIs. Most organizations still …

Agent AI systems sit on top of larger language models and connect to tools, memory, and the external environment. They already support scientific discovery, software development, and clinical research, yet …

In this tutorial, we build a fully functional pre-emptive churn agent that proactively identifies at-risk users and drafts personalized re-engagement emails before they cancel. Instead of waiting for churn to …

As AI agents continue to grow in popularity, there’s one question everyone is wondering: When will they achieve full autonomy? Bets are being made soon on the recently launched foundation. …

In this tutorial, we walk through the process of building a fully autonomous fleet-analysis agent using SmolAgents and a local QWAN model. We generate telemetry data, load it through a …

NVIDIA has released the Nemotron 3 family of open models as part of a full stack for agentic AI, including model weights, datasets, and reinforcement learning tools. The family has …

In this tutorial, we outline how to setup a fully functional, device-in-use medical pre-authorization agent powered by Gemini. We walk through each component step by step, from safely configuring the …

Building natural voice conversations with AI agents requires complex infrastructure and a lot of code from engineering teams. Text-based agent interactions follow a turn-based pattern: a user sends a complete …

Salesforce has agreed to a deal to buy Qualified, an agentic AI marketing provider. Both companies are based in San Francisco. Terms of the deal have not been disclosed, although …

Image by author , Introduction agentic ai system Can break down complex tasks, use tools, and make decisions into multiple steps to achieve goals. Unlike simple chatbots, which answer single …