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 ...

How can an AI system learn to pick the right model or tool for each step of a task instead of always relying on ...

How can an AI system prove complex olympiad level math problems in clear natural language while also checking that its own reasoning is actually ...

Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.

Vibe Coding is redefining the software landscape by harnessing artificial intelligence to make code creation faster, more intuitive, and accessible to virtually anyone. In 2025, this trend has moved ...

Git is a distributed version control system that helps you track changes in your code, collaborate with others, and maintain a history of your project. Git Bash is a terminal application for Windows ...

What is an AI Agent? An AI Agent is an autonomous software system that can perceive its environment, interpret data, reason, and execute actions to achieve specific goals without explicit human ...

Anthropic has released a detailed best-practice guide for using Claude Code, a command-line interface designed for agentic software development workflows. Rather than offering a prescriptive agent ...

Large Language Models (LLMs) are becoming integral to modern technology, driving agentic systems that interact dynamically with external environments. Despite their impressive capabilities, LLMs are ...

Agent Development Kit (ADK) is an open-source Python framework that helps developers build, manage, and deploy multi-agent systems. It’s designed to be modular and flexible, making it easy to use for ...

Generative AI is a part of Artificial Intelligence capable of generating new content such as code, images, music, text, simulations, 3D objects, videos, and so on. It is considered an important part ...

With the frequent release of new large language models (LLMs), there is a persistent quest to minimize repetitive errors, enhance robustness, and significantly improve user interactions. As AI models ...