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AI Engineer

A collection of 186 posts

Install Google AI Edge Gallery to Run AI Models on Your Phone

Install Google AI Edge Gallery to Run AI Models on Your Phone

Google has introduced a groundbreaking tool—Google AI Edge Gallery—that empowers users to run advanced AI models directly on their smartphones, entirely offline. Whether you’re a developer, power user, or simply curious about the future of on-device AI, this article will walk you through everything you need to

Run and Install DeepSeek-R1-0528 Locally on Your Computer

Deepseek R1 0528

Run and Install DeepSeek-R1-0528 Locally on Your Computer

DeepSeek-R1-0528 is a cutting-edge open-source large language model (LLM) designed for developers, researchers, and AI enthusiasts. With state-of-the-art benchmark performance, advanced reasoning capabilities and support for JSON output and function calling, this model stands out for both experimentation and production use. In this guide, you'll learn how to

DeepSeek R1 0528 vs Google Gemini 2.5 Pro

DeepSeek R1 0528 vs Google Gemini 2.5 Pro

The artificial intelligence landscape is witnessing rapid evolution, with new models pushing the boundaries of reasoning, coding, and multimodal understanding. Two models at the forefront of this innovation are DeepSeek R1 0528—a product of Chinese AI startup DeepSeek—and Google Gemini 2.5 Pro, the latest iteration from one

Install and Run Cherry Studio Using Ollama on Linux Ubuntu

Install and Run Cherry Studio Using Ollama on Linux Ubuntu

This comprehensive guide walks you through installing and running Cherry Studio with Ollama on Ubuntu Linux. Learn how to set up a robust local environment for running large language models (LLMs) privately, securely, and efficiently. Whether you're a developer, researcher, or privacy-conscious user, this setup will give you

Install and Run Cherry Studio Using Ollama on Windows

Install and Run Cherry Studio Using Ollama on Windows

Cherry Studio is a powerful, open-source desktop application designed as a unified front-end for large language models (LLMs). It integrates smoothly with both local LLM engines like Ollama and popular cloud-based services, providing Windows users with a flexible, privacy-focused AI experience. This guide walks you through installing and running Cherry

Installing and running Cherry Studio with Ollama on a Mac

Installing and running Cherry Studio with Ollama on a Mac

This comprehensive guide walks you through every step—from prerequisites to advanced features—ensuring a smooth and efficient setup of Cherry Studio and Ollama on macOS. * Cherry Studio is a cross-platform desktop application for interacting with various large language models (LLMs). It supports providers like OpenAI, Gemini, Anthropic, and local

Install and Run Cherry Studio on Linux Ubuntu: A Complete Guide

Install and Run Cherry Studio on Linux Ubuntu: A Complete Guide

Cherry Studio is a modern, open-source desktop client for Large Language Models (LLMs), supporting seamless integration with providers like OpenAI, GPT-3, and d.run. Cherry Studio empowers users to interact with advanced AI tools directly from their desktop. This guide walks you through installing and running Cherry Studio on Ubuntu

Install and Run Cherry Studio on Windows: A Complete Guide

Install and Run Cherry Studio on Windows: A Complete Guide

Cherry Studio is a powerful, open-source desktop client designed to help you interact with large language models (LLMs) from various providers—including OpenAI, Gemini, local models, and more. With cross-platform compatibility, a modern UI, and robust productivity tools, Cherry Studio is ideal for developers, researchers, writers, and anyone seeking to

Install and Run Cherry Studio on Mac

Install and Run Cherry Studio on Mac

Cherry Studio is a powerful, cross-platform AI productivity desktop client built for seamless interaction with a wide array of large language models (LLMs) and AI web services. Whether you're a developer, writer, researcher, or tech enthusiast, Cherry Studio provides a unified interface to supercharge your workflow on macOS,

Top 10 Best AI YouTube Video Summarizers

AI Video Summarizers

Top 10 Best AI YouTube Video Summarizers

YouTube videos often stretching into hours, viewers increasingly seek efficient ways to extract key insights without watching the entire content. AI-powered YouTube video summarizers have emerged as essential tools for students, professionals, researchers, and casual viewers alike. Below is a detailed exploration of the top 10 best AI YouTube video

Install and Run Gemma 3n Locally: A Complete Guide

Install and Run Gemma 3n Locally: A Complete Guide

Gemma 3n is a cutting-edge, privacy-first AI model designed to run efficiently on local devices. It brings advanced multimodal capabilities—including text, audio, image, and video understanding—directly to your desktop or server. This guide provides a comprehensive step-by-step walkthrough for installing and running Gemma 3n locally using the Ollama

Run Devstral Locally with Ollama

Run Devstral Locally with Ollama

Running advanced AI models like Devstral on your own hardware is now practical, thanks to tools like Ollama, which simplify local deployment. This guide walks you through how to run Devstral locally with Ollama—from setup and installation to advanced configuration, troubleshooting, and real-world use cases. What Is Devstral? Devstral

How to Run Devstral by Mistral

How to Run Devstral by Mistral

Devstral, Mistral AI’s cutting-edge agentic coding model, is redefining the boundaries of automated software engineering. Whether you’re a hobbyist developer, a seasoned enterprise engineer, or a research scientist, Devstral offers unprecedented capabilities that streamline and scale complex coding workflows. What is Devstral? Devstral is a high-performance, open-source agentic

Gemma 3 vs Gemma 3n: A Comprehensive Comparison

Gemma 3 vs Gemma 3n: A Comprehensive Comparison

Google’s Gemma family of AI models has rapidly evolved, with Gemma 3 and the newly announced Gemma 3n representing the latest advancements in open, multimodal, and resource-efficient artificial intelligence. While both are built on cutting-edge research and share a common lineage, they are designed for distinct use cases and

Gemma 3 1B vs Gemma 3n: A Comprehensive Comparison

Gemma 3 1B vs Gemma 3n: A Comprehensive Comparison

Google’s Gemma series represents a significant leap in open, efficient, and multimodal AI models. With the arrival of Gemma 3 1B and the newly announced Gemma 3n, developers and AI enthusiasts are presented with advanced tools optimized for everything from cloud to mobile. This article provides a thorough, in-depth

Run Void AI with Ollama on Ubuntu: Best Cursor Alternative

Run Void AI with Ollama on Ubuntu: Best Cursor Alternative

The rise of AI-powered coding tools has transformed software development, but many popular solutions—like Cursor and GitHub Copilot—are closed-source and cloud-based, raising concerns about privacy and data control. Enter Void, an open-source, locally-hosted AI code editor, and Ollama, a robust tool for running large language models (LLMs) on

Run Void AI with Ollama on Windows: Cursor AI Alternative

Run Void AI with Ollama on Windows: Cursor AI Alternative

AI-powered code editors are transforming how developers write, refactor, and understand code. Among the most popular commercial options is Cursor, but its closed-source nature and subscription fees have prompted the rise of open-source alternatives. Void is one such tool, designed as a privacy-first, flexible, and powerful AI coding IDE that

Run Void AI with Ollama on Mac: Best Cursor Alternative

Run Void AI with Ollama on Mac: Best Cursor Alternative

As AI-powered coding assistants become central to modern software development, developers are increasingly seeking tools that combine power, privacy, and flexibility. Proprietary solutions like Cursor and GitHub Copilot have led the way, but their reliance on cloud-based models and closed ecosystems raises concerns about data privacy, cost, and vendor lock-in.

How Prompt Caching Helps to Reduce AI Cost

How Prompt Caching Helps to Reduce AI Cost

Prompt caching has emerged as a powerful strategy for reducing the operational costs and improving the efficiency of AI systems, especially those powered by large language models (LLMs) like OpenAI’s GPT, Anthropic’s Claude, and others. As AI adoption accelerates across industries, understanding how prompt caching works and how

Running DeepSeek Prover V2 7B on Linux: A Complete Guide

Running DeepSeek Prover V2 7B on Linux: A Complete Guide

DeepSeek Prover V2 7B is an open-source large language model designed specifically for formal theorem proving, particularly in the Lean 4 proof assistant language. It excels at formal mathematical reasoning by generating precise proofs, making it a powerful tool for researchers, educators, and enthusiasts in mathematics and computer science. This

How to Use Generative AI for Mobile Computing

mobile computing

How to Use Generative AI for Mobile Computing

Generative AI is rapidly transforming the landscape of mobile computing, enabling a new era of intelligent, adaptive, and creative mobile applications. From personalized user experiences to automated content creation and advanced network management, generative AI is reshaping what is possible on smartphones and other mobile devices. This article provides a

Run Microsoft Phi 4 on Windows: An Installation Guide

Run Microsoft Phi 4 on Windows: An Installation Guide

Microsoft's Phi-4 represents a breakthrough in efficient language models, offering state-of-the-art reasoning capabilities with its 14-billion parameter architecture. While originally designed for Linux environments, this guide provides detailed methodologies for Windows users to harness its multimodal capabilities. System Requirements Hardware Specifications 1. CPU: * Minimum: 8-core Intel i7/Ryzen

Run Microsoft Phi-4 on Ubuntu: A Comprehensive Guide

Run Microsoft Phi-4 on Ubuntu: A Comprehensive Guide

Microsoft’s Phi-4 is a state-of-the-art multimodal AI model, capable of advanced language, vision, and audio understanding. Running Phi-4 locally on Ubuntu allows developers, researchers, and enthusiasts to leverage its capabilities. What is Microsoft Phi-4? Microsoft Phi-4 is a cutting-edge multimodal AI model, designed to process and generate text, understand

Run Microsoft Phi 4 on Mac: Installation Guide

Run Microsoft Phi 4 on Mac: Installation Guide

Microsoft's Phi-4 models represent a breakthrough in efficient language model design, offering advanced natural language capabilities while maintaining hardware accessibility. This guide covers all technical aspects of running Phi-4 Mini and Phi-4 Noesis variants on macOS, including architectural considerations, installation procedures, optimization strategies, and practical applications. Model Architecture