Author name: Nishkam Batta

In a big win for local AI enthusiasts, Ollama—a popular command-line tool for running large language models (LLMs) locally has […]

Meta just dropped its newest AI models—LLaMA 3—and they’re already making waves. Why? Because they’re not just powerful, they’re designed

The shift from cloud-based to local and decentralized AI is no longer theoretical; it’s the dominant trend of 2025. From federated

Local and decentralized AI are moving fast, and if you want to build smarter, safer, and faster, you need the

In federated learning, models are trained across many devices using local data without transferring that data to a central location.

One of the biggest selling points of local AI is privacy. Since data never leaves the user’s device, it reduces exposure

As AI continues its shift from centralized clouds to decentralized and locally hosted systems, a new wave of ethical questions

While decentralized AI promises privacy, autonomy, and agility, it’s the trailblazers on the ground who are wrestling with its most

Running a single AI model in the cloud is straightforward. A central server handles everything—from updates and performance tracking to

Local AI may protect sensitive data by keeping it close to home, but it opens the door to a new