Ollama is an open-source framework that lets you run large language models (LLMs) locally on your own computer instead of using cloud-based AI services. It’s designed to make running these powerful AI models simple and accessible to individual users and developers. Key features of Ollama include: Ollama Cheatsheet Ollama is a lightweight, open-source framework for […]| Collabnix
In the rapidly evolving landscape of AI development, Ollama has emerged as a game-changing tool for running Large Language Models locally. With over 43,000+ GitHub stars and 2000+ forks, Ollama has become the go-to solution for developers seeking to integrate LLMs into their local development workflow. The Rise of Ollama: By the Numbers – 43k+ […]| Collabnix
Comprehensive comparison of Hugging Face and Ollama for local AI deployment. Learn setup, performance, use cases, and which platform suits your AI development needs.| Collabnix
Learn how to customize large language models for your specific needs and deploy them locally using Ollama. This comprehensive guide covers everything from data preparation to model deployment.| Collabnix
Discover the different types of Ollama models available for local AI deployment. Learn about Llama, Mistral, Code Llama, and other model families with practical implementation tips.| Collabnix
Running large language models locally has become essential for developers, enterprises, and AI enthusiasts who prioritize privacy, cost control, and offline capabilities. Ollama has emerged as the leading platform for local LLM deployment, but with over 100+ models available, choosing the right one can be overwhelming. This comprehensive guide covers everything you need to know […]| Collabnix
Discover the top Ollama models for function calling in 2025. Compare performance, features, and implementation guides for Llama 3.1, Mistral, CodeLlama, and more.| Collabnix
Discover the Best Open Source LLMs for 2025 Open-source Large Language Models (LLMs) have revolutionized AI accessibility in 2025, offering powerful alternatives to expensive proprietary models. This guide reviews the 10 best open-source LLMs available today, helping you choose the perfect model for your needs. What Are Open-Source LLMs? Open-source LLMs are freely available language […]| Collabnix
Transform Your AI Experience with Ollama’s Game-Changing Desktop Application The wait is over! Ollama has officially launched its Ollama 0.1.0 desktop application for both macOS and Windows, marking a significant milestone in making local AI accessible to everyone. This groundbreaking release transforms how users interact with large language models, moving beyond command-line interfaces to deliver […]| Collabnix
What is Ollama? Ollama is a lightweight, extensible framework for building and running large language models locally. Run LLaMA, Mistral, CodeLlama, and other models on your machine without cloud dependencies. Quick Installation macOS Linux Windows Docker Installation Starting Ollama Service Basic Model Operations Pull Models List Available Models Remove Models Running Models Interactive Chat Single […]| Collabnix
Introduction: What is Perplexity AI? Perplexity AI has emerged as a revolutionary AI-powered search engine that’s changing how we find and consume information online. Unlike traditional search engines that return lists of links, Perplexity provides direct, cited answers to your questions using advanced language models. But is it worth the hype? Let’s dive deep into […]| Collabnix
Learn how to install and optimize DeepSeek-R1 with Ollama in 2025. Complete technical guide covering GPU setup, memory optimization, benchmarking, and production deployment strategies.| Collabnix
Running large language models locally has become essential for developers who need privacy, cost control, and offline capabilities. Ollama has emerged as the leading platform for running LLMs locally, but choosing the right model can make or break your development workflow. This comprehensive guide covers the best Ollama models for developers in 2025, with practical […]| Collabnix
Learn how to install, configure, and optimize Ollama for running AI models locally. Complete guide with setup instructions, best practices, and troubleshooting tips| Collabnix
Understanding Retrieval Augmented Generation in AI Transform how your AI applications access and utilize knowledge. Retrieval-Augmented Generation (RAG) is revolutionizing artificial intelligence by combining the power of large language models with real-time information retrieval. This comprehensive guide will teach you everything about RAG—from fundamental concepts to advanced implementation techniques—helping you build more accurate, up-to-date, and reliable […]| Collabnix
Discover the ultimate Ollama guide for running LLMs locally.| Collabnix
Retrieval-Augmented Generation (RAG) has revolutionized how we build intelligent applications that can access and reason over external knowledge bases. In this comprehensive tutorial, we’ll explore how to build production-ready RAG applications using Ollama and Python, leveraging the latest techniques and best practices for 2025. What is RAG and Why Use Ollama? Retrieval-Augmented Generation combines the […]| Collabnix
Compare Ollama vs ChatGPT 2025 in our detailed guide.| Collabnix
Discover the best Ollama models 2025 for top performance.| Collabnix
AI is rapidly transforming how we build software—but testing it? That’s still catching up. If you’re building GenAI apps, you’ve probably asked:“How do I test LLM responses in CI without relying on expensive APIs like OpenAI or SageMaker?” In this post, I’ll show you how to run large language models locally in GitHub Actions using […]| Collabnix
Have you ever wished you could build smart AI agents without shipping your data to third-party servers? What if I told you you can run powerful language models like Llama3 directly on your machine while building sophisticated AI agent systems? Let’s roll up our sleeves and create a self-contained AI development environment using Ollama and […]| Collabnix
Hi guys, let’s dive into the world of building brainy chatbots! You know, the ones that can actually do things and not just parrot back information. Lately, I’ve been playing around with some really cool tech, LangGraph,MCP and Ollama and let me tell you, the potential is mind-blowing. We’re talking about creating multi-agent chatbots for […]| Collabnix
If you’ve been working with Ollama for running large language models, you might have wondered about parallelism and how to get the most performance out of your setup. I recently went down this rabbit hole myself while building a translation service, and I thought I’d share what I learned. So, Does Ollama Use Parallelism Internally? […]| Collabnix
Introduction DeepSeek is an advanced open-source code language model (LLM) that has gained significant popularity in the developer community. When paired with Ollama, an easy-to-use framework for running and managing LLMs locally, and deployed on Azure Kubernetes Service (AKS), we can create a powerful, scalable, and cost-effective environment for AI applications. This blog post walks […]| Collabnix
Ollama is an open-source platform designed to run large language models (LLMs) locally on your machine. This provides developers, researchers, and businesses with full control over their data, ensuring privacy and security while eliminating reliance on cloud-based services. By running AI models locally, Ollama reduces latency, enhances performance, and allows for complete customization. This guide […]| Collabnix
Overview This guide will walk you through creating a simple chat application in .NET that interacts with a locally hosted AI model. Using the Microsoft.Extensions.AI library, you can communicate with an AI model without relying on cloud services. This provides better privacy, reduced latency, and cost efficiency. Prerequisites Install .NET 8.0 or a later version. […]| Collabnix
As a developer who’s worked extensively with AI tools, I’ve found Ollama to be an intriguing option for production deployments. While it’s known for local development, its capabilities extend far beyond that. Let’s dive into how we can leverage Ollama in production environments and explore some real-world use cases. What Makes Ollama Production-Ready? Before we […]| Collabnix
DeepSeek-R1 is a powerful open-source language model that can be run locally using Ollama. This guide will walk you through setting up and using DeepSeek-R1, exploring its capabilities, and optimizing its performance. Model Overview DeepSeek-R1 is designed for robust reasoning and coding capabilities, offering: Prerequisites Installation Steps # Pull the base modelollama pull deepseek-r1# Or […]| Collabnix
Ollama is a powerful framework that allows you to run, create, and modify large language models (LLMs) locally. This guide will walk you through the installation process across different platforms and provide best practices for optimal performance. Table of Contents System Requirements Minimum Hardware Requirements: Supported Platforms: Installation Methods Method 1: Direct Installation (macOS) # […]| Collabnix