What is AI

In this video tutorial, Gyula Rabai Jr. helps you explore the powerful world of Artificial Intelligence (AI), where complex problems are solved without the need for explicit instructions. Unlike traditional programming, which relies on step-by-step coding, AI models learn through training on data, identifying patterns, and generating results. This approach opens up new possibilities for tackling tasks where conventional methods fall short, allowing for smarter, more adaptive algorithms. View the following video to understand how AI is revolutionizing problem-solving and reshaping the future of technology.

Key Topics Covered

• What is Artificial Intelligence (AI)?
• How AI solves problems without knowing specific solutions
• The process of training an AI model
• Why AI is more flexible than traditional algorithms
• Examples of AI applications in real life

Video overview

In the above video, you can learn the basic definition of Artificial Intelligence (AI) and explore how it helps us solve complex problems that are difficult to tackle with traditional algorithms.

Have you ever wondered how AI can identify things like black cats crossing the street at night? In this example, we demonstrate the power of AI in recognizing patterns and solving problems that can't be easily coded by hand. Instead of writing a specific algorithm for every scenario, AI uses a process called training. By feeding the AI model with numerous examples, it learns to identify the correct answer — whether that's recognizing a black cat or something else — without us needing to understand the exact steps or rules.

More information

• Large Language Models (LLM) - What is AI
• Large Language Models (LLM) - What are LLMs
• Large Language Models (LLM) - Tokenization in AI
• Large Language Models (LLM) - Embedding in AI
• Large Language Models (LLM) - RoPE (Positional Encoding) in AI
• Large Language Models (LLM) - Layers in AI
• Large Language Models (LLM) - Attention in AI
• Large Language Models (LLM) - GLU (Gated Liner Unit) in AI
• Large Language Models (LLMs) - Normalization (RMS or RMSNorm) in AI
• Large Language Models (LLM) - Unembedding in AI
• Large Language Models (LLM) - Temperature in AI
• Large Language Models (LLM) - Model size an Parameter size in AI
• Large Language Models (LLM) - Training in AI
• Large Language Models (LLM) - Hardware acceleration, GPUs, NPUs in AI
• Large Language Models (LLM) - Templates in AI
• Large Language Models (LLM) - Putting it all together - The Architecture of LLama3