Explore practical insights, tutorials, and real-world applications of Artificial Intelligence. From ML models to hands-on experiments, this category helps you understand and build AI step by step in a simple and developer-friendly way.
Running Large Language Models (LLMs) locally is becoming increasingly important for developers who care about privacy, cost, latency, and offline access. Ollama makes this practical by providing a clean CLI and a simple HTTP API to run models like Llama, Mistral, Gemma, and more on your own machine. In this post, we’ll explore what the … Read more
Ollama has quickly become one of the most convenient ways to run large language models locally.This guide covers the most important and practical Ollama commands that you can use daily. Install a Model The pull command downloads a model from the official Ollama registry. To install a model run the below command : Example : … Read more
Imagine teaching a computer not just once, but continuously like how humans learn throughout their life. That’s the big idea behind Nested Learning, a fresh approach from Google Research that could help AI models learn new things without forgetting what they already know. The Problem: Why AI Forgets Traditional AI models struggle with continual learning … Read more
In this tutorial, we will discuss how to use the FastSD MCP server to generate an image using LM Studio. Download and install FastSD FastSDCPU is an open-source tool that enables fast text-to-image generation with Stable Diffusion models on CPUs and Intel AI PCs, leveraging Latent Consistency Models and Adversarial Diffusion Distillation for speed. It supports … Read more
In this article, we discuss how to use the FastSD MCP server with the Claude desktop to access the NPU to generate images. Model Context Protocol(MCP) Let’s first understand the Model Context Protocol (MCP). Anthropic developed the Model Context Protocol (MCP). Anthropic officially announced and open-sourced the protocol in November 2024. The MCP protocol is … Read more