Build a Custom LLM with Ollama: Modelfile / Blogs / Perficient
Create a custom local LLM with Ollama using a Modelfile and integrate it into Python workflows for offline execution.| Perficient Blogs
More than 1,100 instances of Ollama—a popular framework for running large language models (LLMs) locally—were discovered directly accessible on the public internet, with approximately 20% actively hosting vulnerable models that could be exploited by unauthorized parties. Cisco Talos specialists made the alarming finding during a rapid Shodan scan, underscoring negligent security practices in AI deployments […] The post Over 1,100 Ollama AI Servers Found Online, 20% at Risk appeared firs...| GBHackers Security | #1 Globally Trusted Cyber Security News Platform
A few interesting things are happening around open source artificial intelligence, and even if you haven't been paying much attention to generative AI beyond the big name brands like ChatGPT, I think this is something that you should take a look at. The post Open Source AI is Going Mainstream appeared first on Leon Furze.| Leon Furze
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
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
I started a project to categorise and report on my todo lists, using a local AI model to assist with categorisation. This post talks about that experience| www.bentasker.co.uk
Create a custom local LLM with Ollama using a Modelfile and integrate it into Python workflows for offline execution.| Perficient Blogs
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
I'm on a journey discovering what is possible with the Microsoft.Extensions.AI library and you are free to join. Yesterday I looked at how ...| bartwullems.blogspot.com
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
Learn how to deploy and scale Ollama LLM models on Kubernetes clusters for production-ready AI applications| 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
Ollama vs ChatGPT 2025: A Comprehensive Comparison A comprehensive technical analysis comparing local LLM deployment via Ollama against cloud-based ChatGPT APIs, including performance benchmarks, cost analysis, and implementation strategies The artificial intelligence landscape has reached a critical inflection point in 2025. Organizations worldwide face a fundamental strategic decision that will define their AI capabilities for […]| Collabnix
Top Picks for Best Ollama Models 2025 A comprehensive technical analysis of the most powerful local language models available through Ollama, including benchmarks, implementation guides, and optimization strategies Introduction to Ollama’s 2025 Ecosystem The landscape of local language model deployment has dramatically evolved in 2025, with Ollama establishing itself as the de facto standard for […]| 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
This article will teach you how to use the Quarkus LangChain4j project to build applications based on different chat models. The Quarkus AI Chat Model offers a portable and straightforward interface, enabling seamless interaction with these models. Our sample Quarkus application will switch between three popular chat models provided by OpenAI, Mistral AI, and Ollama. […] The post Getting Started with Quarkus LangChain4j and Chat Model appeared first on Piotr's TechBlog.| Piotr's TechBlog
“A large fraction of the flaws […]| hn security
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
This article will teach you how to create a Spring Boot application that implements several AI scenarios using Spring AI and the Ollama tool. Ollama is an open-source tool that aims to run open LLMs on our local machine. It acts like a bridge between LLM and a workstation, providing an API layer on top […] The post Using Ollama with Spring AI appeared first on Piotr's TechBlog.| Piotr's TechBlog
This article will teach you how to create a Spring Boot application that handles images and text using the Spring AI multimodality feature.| Piotr's TechBlog
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
Gdy siadam do pisania tego tekstu, kurs akcji NVidii – najwyżej wycenianej firmy świata – spadł o 17%, co oznacza, że w kilkanaście godzin łączna wartość firmy zmniejszyła mniej-więcej o cztery roczne budżety Polski. A wszystko z powodu Dużego Modelu Językowego (LLM) chińskiej produkcji o nazwie DeepSeek R1. Zainstalujemy go dziś na naszym komputerze. Tylko… […] Artykuł Zainstaluj chińskiego czata na swoim komputerze pochodzi z serwisu Informatyk Zakładowy.| Informatyk Zakładowy
This blog demonstrates how to use DeepSeek-R1 for text generation using Ollama, a tool for running LLMs locally. These instructions align with the usage described on the DeepSeek-R1 page at ollama.com. 1. Install Ollama Ollama currently supports macOS (both Intel and Apple Silicon). Install it using Homebrew: brew install ollama Confirm the installation by checking […]| Collabnix
At DockerCon 2023, with partners Neo4j, LangChain, and Ollama, we announced a new GenAI Stack. We have brought together the top technologies in the generative artificial intelligence (GenAI) space to build a solution that allows developers to deploy a full GenAI stack with only a few clicks.| Docker
This article will teach you how to use the Spring AI project to build applications based on different chat models.| Piotr's TechBlog
A well-built custom eval lets you quickly test the newest models, iterate faster when developing prompts and pipelines, and ensure you’re always moving forward against your product’s specific goal. Let’s build an example eval – made from Jeopardy questions – to illustrate the value of a custom eval.| Drew Breunig
I document how I run Large Language Models locally.| Abishek Muthian
Retrieval-augmented regeneration, also known as RAG, is an NLP technique that can help improve the quality of large language models (LLMs). ...| bartwullems.blogspot.com
I'm a big fan of Ollama as a way to try and run a large language model locally. Today I got into trouble when I tried to connect to Ollama. ...| bartwullems.blogspot.com
Yesterday I talked about OllamaSharp as an alternative (to Semantic Kernel) to talk to your Ollama endpoint using C#. The reason I wanted to...| bartwullems.blogspot.com
Renting a GPU in the cloud, especially with a bare-metal host can be expensive, and even if the hourly rate looks reasonable, over the course of a year, it can really add up. Many of us have a server or workstation at home with a GPU that can be used for serving models with an open source project like Ollama.| inlets.dev
The last couple of years have been dominated by the advancements in the Artificial Intelligence (AI) field. Many of us witnessed and are currently experiencing some sort of renaissance of AI. | Gonçalo Valério
