AI tutorial - IT technology blog
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Building AI Recommendation Systems: From Basics to Production Deployment

Learn to build AI recommendation systems from the ground up. This tutorial covers core algorithms like collaborative filtering and content-based methods, then dives into advanced usage with hybrid models and deep learning. Finally, it provides practical tips for deploying and maintaining recommendation systems in production environments.
AI tutorial - IT technology blog
Posted inAI

Understanding AI Regulations: A Developer’s Guide to the EU AI Act and Beyond

Understanding AI regulations like the EU AI Act is crucial for junior developers building AI systems today. This guide walks you through integrating compliance into your development process, from understanding risk to implementing practical code examples for data privacy and explainability, ensuring your AI systems are responsible and legally sound.
AI tutorial - IT technology blog
Posted inAI

AI Content Detection: How It Works and How to Avoid False Positives

AI content detectors flag legitimate human writing more often than most people realize. This guide breaks down how perplexity, burstiness, and classifier-based detection actually work, then walks through a practical multi-tool setup and Python scripts to audit your own content before it gets flagged.
AI tutorial - IT technology blog
Posted inAI

AI Agents: What They Are & How to Build Your First Automated Workflow

AI agents are changing how we automate complex IT tasks, using large language models (LLMs) with specialized tools and advanced reasoning. This tutorial shows you how to build your first agent with Python and LangChain, covering environment setup, configuration, and key monitoring techniques.
AI tutorial - IT technology blog
Posted inAI

Mastering Model Context Protocol (MCP): Empowering AI with External Tools

The Model Context Protocol (MCP) is crucial for AI models to interact effectively with external tools and APIs, overcoming their inherent limitations. This comprehensive guide covers the core concepts of MCP, from defining tools and orchestrating calls to handling complex workflows and prioritizing security. Learn how to build dynamic AI applications that fetch real-time data and perform actions far beyond their initial training.
AI tutorial - IT technology blog
Posted inAI

NotebookLM: Your AI Research Assistant Tutorial

Discover how Google's NotebookLM functions as an AI research assistant. It helps you analyze, summarize, and extract insights directly from your uploaded documents and web sources. This tutorial guides you through its unique grounded AI approach and practical usage to streamline your information gathering, making your research more efficient and reliable.