Guides for beginners
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Every second, the world generates an unimaginable amount of data. Every Google search, every social media post, every online purchase, every sensor reading — it all adds up. In fact, we create approximately 2.5 quintillion bytes of data every single day. This massive flood of information is what we call Big Data, and learning how to harness it has become one of the most valuable skills in the modern business world.
Have you ever chatted with customer support on a website at 2 AM and gotten an instant reply? Or asked a voice assistant to play music or check the weather? Chances are, you were talking to a chatbot. These AI-powered conversational agents are transforming how businesses interact with customers, and they're becoming smarter every day.
When your phone recognizes your face in a split second, when Google Translate converts Thai to English almost perfectly, or when ChatGPT generates human-like responses — that's Deep Learning at work. It's the technology behind virtually every major AI breakthrough of the last decade, and it's transforming what computers can do.
If you've ever wondered how small software companies can compete with large corporations in terms of quality and reliability, the answer often lies in ISO 29110. This international standard is specifically designed to help startups, SMEs, and small development teams deliver professional-grade software without drowning in bureaucratic processes.
Every time Netflix recommends a movie you actually want to watch, or your email filters out spam automatically, or your phone recognizes your face to unlock — that's Machine Learning at work. It's the technology that enables computers to learn from experience rather than being explicitly programmed for every task. And it's revolutionizing virtually every industry.
Humans naturally understand the world through multiple senses - we see images, hear sounds, read text, and watch videos simultaneously. But until recently, AI systems were limited to processing only one type of data at a time. Enter Multimodal AI - artificial intelligence that can understand and work with multiple types of data together, just like humans do.
Generative AI is revolutionizing how we work, create, and solve problems. From writing emails to generating images, this technology is now accessible to everyone. But what exactly is it, and how can you use it? This guide will explain everything you need to know in simple terms.
You've probably used ChatGPT or similar AI assistants. You ask a question, get an answer, and that's it. But what if AI could do more? What if it could plan, execute multi-step tasks, use tools, and work autonomously to achieve your goals? Welcome to Agentic AI - the next evolution of artificial intelligence.
Everyone talks about Large Language Models (LLMs) like GPT-4 and Claude. But there's a growing movement toward their smaller, more efficient cousins: Small Language Models (SLMs). These compact AI models are revolutionizing how we deploy AI in real-world applications. Let's explore what they are and why they matter.