Model & Technical Fundamentals

Making Generative AI Safer and Smarter: What Is Alignment and Instruction Tuning?

Discover how alignment and instruction tuning help make generative AI like ChatGPT safer, more reliable, and easier to use. Learn how these essential techniques improve AI-human interaction.

Model & Technical Fundamentals

How Does Generative AI Learn? A Simple Guide to Training, Pre-training, and Fine-tuning

Learn how generative AI models like ChatGPT become “smart.” This beginner-friendly article explains supervised learning, self-supervised learning, pre-training, and fine-tuning in simple terms.

Model & Technical Fundamentals

Foundation Models, Transformers, and Attention: Understanding the Core of Generative AI

Learn the essential technologies behind generative AI, including foundation models, transformers, and attention mechanisms. A beginner-friendly guide to understanding how modern AI works.

Model & Technical Fundamentals

Understanding Large Language Models (LLMs): How Generative AI Thinks and Learns

Learn the fundamentals of Large Language Models (LLMs) used in generative AI like ChatGPT and Claude. Discover how tokenization, embeddings, self-attention, and deep learning layers work together to create human-like responses.

Model & Technical Fundamentals

How Generative AI Thinks: Probability, Prediction, and Hallucination

Generative AI doesn't understand—it predicts. Learn how probabilistic models work, why AI sometimes hallucinates false information, and how to use it responsibly in daily life.

Model & Technical Fundamentals

What Text, Image, and Audio Generative AI Models Have in Common

Explore the common technical foundations behind generative AI models for text, images, and audio. Learn how these tools share learning processes, evaluation metrics, and multimodal capabilities.

Model & Technical Fundamentals