Category: Learn AI

  • AI Communities: Find the Right Tribe to Learn, Contribute and Grow

    The AI ecosystem has evolved far beyond just reading academic papers. Today, the most cutting-edge developments, model weights and breakthroughs are happening in open, collaborative communities. Depending on your specific focus, whether it’s deploying models, tweaking open-source weights, or generating art, here are the most popular and impactful AI communities…

  • How Prompt Engineering Works

    Prompt engineering is the art and science of crafting instructions for Large Language Models (LLMs) like ChatGPT, Claude or Gemini to get the best, most accurate and most useful outputs. Think of it like talking to a brilliant, incredibly fast but highly literal alien who has read almost everything in…

  • Modular AI Skills – Why, What and How

    Most people interact with AI the same way they Google things: type something in, get something out, repeat. It works. But it leaves enormous value on the table. Every time you re-explain your workflow, your preferences, your domain expertise, you’re paying a tax you’ve already paid before. Skills change this…

  • Token Calculation Explained

    The Secret Language of AI: What Exactly is a “Token”? When you type a prompt into an AI like me, it feels like we are having a normal, human conversation. You write words, and AI write words back. But behind the scenes, AI models do not actually read English, Spanish…

  • A2A Protocol Explained

    A2A (Agent-to-Agent) model, often referred to as the A2A protocol, isn’t a machine learning model like Gemini or GPT. Instead, it’s a communication and interoperability standard for AI agents. Put simply, it’s a framework that lets autonomous AI agents talk and work with each other in a structured and standardized…

  • Has LLM Development Hit a Dead End?

    OpenAI CEO Sam Altman recently issued an internal memo declaring that the company had entered a state of “Code Red” emergency. On the surface, this looks like OpenAI’s reaction to strong competitors such as Google and Anthropic. But the deeper issue is a massive technical bottleneck hitting the entire AI…

  • Understanding LLM Training

    The world of Artificial Intelligence is increasingly dominated by Large Language Models (LLMs) – sophisticated neural networks capable of understanding and generating human-like text with remarkable fluency. From powering chatbots and writing assistance tools to enabling complex data analysis, LLMs are transforming how we interact with technology. But where do…

  • Model Context Protocol (MCP) – Why?

    There’s been quite a bit of buzz lately around MCP, a new term in the AI space. Many are describing it as a kind of ‘USB-C’ for AI agents. So, what exactly is MCP, and why is it generating so much interest? We’ll be sharing our perspective on this topic…

  • Large Language Model (LLM) Explained

    To better understand what is a Large Language Model (LLM), we’re going to break down the term ‘LLM’ word by word, explore its core components, and delve into the underlying concepts to deepen our understanding. At the end of this article, we’ll bring everything together into a concise summary. Model…

  • AI Catalog: Find the Right Tool for the Job

    The world of AI is booming! It seems like every day there’s a new tool that claims to do amazing things. It’s exciting, but it can also be a bit overwhelming. How do you know which AI tool is the right one for you? That’s why I put this catalog…