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Running AI Agents Locally with Ollama and AutoGen

Par : Adesoji Alu
17 avril 2025 à 21:19
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 […]

Solving Scalability and Management Woes: Integrating CrewAI with an MCP Server

Par : Adesoji Alu
11 avril 2025 à 09:37
Imagine you’ve built a slick AI workflow with CrewAI—say, a team of agents that scrape job postings, craft tailored CVs, and email applications on your behalf. It works beautifully on your local machine, but then reality hits: you want to run this for dozens of job postings daily, across multiple users, without your laptop turning […]

Building AI Agents with n8n: A Complete Guide to Workflow Automation

Par : Adesoji Alu
10 avril 2025 à 02:43
In today’s fast-paced digital environment, automation has become essential for businesses and individuals looking to optimize their workflows. Enter n8n—an open-source, AI-native workflow automation tool that’s rapidly gaining popularity for its powerful capabilities and flexibility. What is n8n? n8n is an open-source workflow automation platform that stands out from competitors like Zapier and Make.com due […]

Exploring the Llama 4 Herd and what problem does it solve?

Par : Adesoji Alu
8 avril 2025 à 14:10
Hold onto your hats, folks, because the world of Artificial Intelligence has just been given a significant shake-up. Meta has unveiled their latest marvels: the Llama 4 herd, marking what they’re calling “the beginning of a new era of natively multimodal AI innovation”. This isn’t just another incremental update; it’s a leap forward that promises […]

Master Terraform: Your Essential Toolbox for a Clean, Secure, and Scalable Infrastructure

Par : Adesoji Alu
5 avril 2025 à 08:41
Terraform is an open-source Infrastructure as Code (IaC) tool from HashiCorp that allows you to define and provision infrastructure using configuration files, enabling automation and management of resources across various cloud providers and on-premises environments.Just for you to be updated,FYI, IBM acquired HashiCorp, the creator of Terraform, in a deal valued at $6.4 billion, which […]

What is CrewAI and what Problem does it solve?

Par : Adesoji Alu
1 avril 2025 à 13:53
Revolutionizing AI Automation: Unleashing the Power of CrewAI In this blog today, let us discover how CrewAI – a fast, flexible, and standalone multi-agent automation framework – is transforming the way developers build intelligent, autonomous AI agents for any scenario. What is CrewAI? CrewAI is a lean, lightning-fast Python framework built entirely from scratch—completely independent […]

Running Distributed ML Training with JobSet on Kubernetes

Par : Adesoji Alu
1 avril 2025 à 12:11
Introduction As modern ML models become increasingly large and complex, training them often requires leveraging hundreds or thousands of accelerator chips spread across many hosts. Kubernetes has become a natural choice for scheduling and managing these distributed training workloads, but existing primitives aren’t always enough to capture the unique patterns of ML and HPC jobs. […]

How to Run Gemma Models Using Ollama?

Par : Adesoji Alu
27 mars 2025 à 12:21
First and foremost, what is Gemma? Gemma is a family of open, lightweight, state-of-the-art AI models developed by Google, built from the same research and technology used to create the Gemini models, designed to democratize AI and empower developers and researchers. Running generative artificial intelligence (AI) models like Gemma can be challenging without the right […]

Mastering MCP Debugging with CLI Tools and jq

Par : Adesoji Alu
27 mars 2025 à 10:53
As developers, we often rely on Model Context Protocol (MCP) to facilitate powerful AI-based workflows. Although MCP is primarily designed for AI assistants, being able to manually inspect and debug MCP servers from the command line is a lifesaver during development. This guide will walk you through setting up your environment, listing available tools, making […]

How to Customize LLM Models with Ollama’s Modelfile?

Par : Adesoji Alu
20 mars 2025 à 15:15
Introduction Large Language Models (LLMs) have become increasingly accessible to developers and enthusiasts, allowing anyone to run powerful AI models locally on their own hardware. Ollama has emerged as one of the leading frameworks for deploying, running, and customizing these models without requiring extensive computational resources or cloud infrastructure. One of Ollama’s most powerful features […]

How to Build and Host Your Own MCP Servers in Easy Steps?

Par : Adesoji Alu
19 mars 2025 à 12:10
Introduction The Model Context Protocol (MCP) is revolutionizing how LLMs interact with external data sources and tools. Think of MCP as the “USB-C for AI applications” – a standardized interface that allows AI models to plug into various data sources and tools seamlessly. In this guide, I’ll walk you through building and hosting your own […]

Why OpenAI’s New AI Agent Tools Could Revolutionize Coding Practices

Par : Adesoji Alu
14 mars 2025 à 11:51
Introduction: The Ever-Changing Landscape of APIs If you’ve worked as a developer, you know the pain of API changes. One day, your app runs flawlessly; the next, an API update forces months of rework. This reality extends to AI-driven applications, and OpenAI’s latest announcements are no exception. The company is sunsetting its Assistants API in […]

Model Context Protocol (MCP): What problem does it solve?

Par : Adesoji Alu
14 mars 2025 à 11:04
Introduction Large language models (LLMs) like ChatGPT and Claude have revolutionized how we interact with technology, yet they’ve remained confined to static knowledge and isolated interfaces—until now. The Model Context Protocol (MCP), introduced by Anthropic, is breaking down these barriers, enabling AI to seamlessly integrate with real-world data and tools. MCP is an open protocol […]

Running DeepSeek R1 on Azure Kubernetes Service (AKS) using Ollama

Par : Adesoji Alu
11 mars 2025 à 12:28
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 […]

Setting Up Ollama & Running DeepSeek R1 Locally for a Powerful RAG System

Par : Adesoji Alu
5 mars 2025 à 07:21
Discover how to create a private AI-powered document analysis system using cutting-edge open-source tools. System Requirements 16GB RAM minimum 10th Gen Intel Core i5 or equivalent 10GB free storage space Windows 10+/macOS 12+/Linux Ubuntu 20.04+ 🛠️ Step 1: Installing Ollama Download Ollama for macOS, Linux, or Windows: Download Ollama Follow installation instructions based on your […]

Deploy DeepSeek-R1 using Ollama-Operator on Kubernetes

Par : Adesoji Alu
27 février 2025 à 03:50
Introduction to DeepSeek-R1 and Ollama In the era of generative AI, efficiently deploying large language models (LLMs) in production environments has become crucial for developers and organizations. DeepSeek-R1 is a powerful quantitative LLM developed for complex natural language processing tasks, offering state-of-the-art performance in text generation, question answering, and semantic analysis. Its optimized architecture makes […]
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