Mykolas Juodis

You don't need to be Google or work at a university to train your own AI model anymore. Small teams can build smart systems that actually work for what they need - you just need the right tools and know-how. This guide walks you through everything from figuring out what problem you're trying to solve all the way to getting your model up and running and keeping it working.

Over the past year, the Model Context Protocol (MCP) has gone from a niche idea to a go-to standard for integrating LLM agents with real-world tools and data. This setup lets agents deliver smarter, context-aware responses and handle complex workflows on their own. In this guide, you'll learn how to set up the Decodo MCP server with tools like Cursor, VS Code, and Claude Desktop and supercharge your web scraping operations.

Building an LLM from scratch in 2026? It's totally doable if you know what you're doing. This guide covers everything – from architecture, training, fine-tuning, and deployment to tips on how to handle the tricky parts. You'll walk away with a clear plan and best practices for building your own high-performing large language model.

MCP has shifted from niche adoption to widespread use, with major platforms like OpenAI, Microsoft, and Google supporting it natively. Public directories now feature thousands of MCP servers from community developers and vendors, covering everything from developer tools to business solutions.

In this guide, you'll learn what MCP is and why it matters for real-world AI agents, which 10 MCP servers are currently most useful, and how to safely choose and combine MCPs for your setup.

Large language models (LLMs) are universal tools that improve text understanding and generation across different tasks. However, they often lack specific industry knowledge. Training a model on your own data is important for adjusting, accurate, and efficient responses. This article will guide you through the training process, best practices, and challenges to help you get started with confidence.

Cloudflare protects over 20% of all websites, and its anti-bot system can shut your scraper down in seconds. A Cloudflare scraper is any tool or script that gets past those defenses to pull data from protected sites. This guide breaks down how Cloudflare spots bots, why most scrapers fail, and how to scrape with Decodo's Web Scraping API.

After years of progress, AI has gotten a lot better at acting like human thinking. Whether that’s in machine learning, robotics, natural language processing (NLP), or training AI agents. But one thing still holds true – AI is only as good as the data it learns from. In this post, we’ll look at why high-quality training data matters so much when building strong AI systems.

AI web scraping with Python lets you extract data from websites without relying on fragile parsing rules. AI helps handling page inconsistencies and dynamic content, while Python continues to manage fetching. In this guide, you'll see how models extract data from unstructured pages, reduce manual parsing rules, support automation, and scale into reliable pipelines.

Individual AI agents are powerful, but their true value is unlocked when they operate cooperatively as a collective. This coordinated effort, known as AI agent orchestration, is fundamental to creating truly autonomous systems capable of managing intricate, multi-step business processes. This guide will walk you through the core patterns of AI agent orchestration and build a practical, autonomous agent using the robust, low-code combination of n8n and Decodo MCP.

Did you know that Google Chrome is the most popular web browser in the world, with over 68.9% of the market share? With its sleek design and fast performance, it's no wonder people love using Chrome for all their browsing needs.

But what happens when the browser starts blocking websites? In this article, we’ll explore the reasons why websites get blocked in Chrome. So, get ready to dive into the world of Chrome's security features and discover why it's important for your online safety.

TL;DR: A proxy server acts as an intermediary between your device and the internet, masking your IP address and routing your requests through alternative IPs. Businesses use proxies to bypass geo-restrictions, avoid blocks and CAPTCHAs, scrape web data at scale, verify ads, monitor prices, and maintain online anonymity. With the proxy market projected to reach USD 3.12 billion by 2032, understanding which proxy type fits your needs can make the difference between seamless data collection and constant roadblocks.