What is a GAN? Explained Simply
October 18, 2026A GAN is two AI networks in competition — one creating fakes, one detecting them — producing images so real they’re hard to tell from photos.
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A GAN is two AI networks in competition — one creating fakes, one detecting them — producing images so real they’re hard to tell from photos.
Diffusion models generate images by starting from pure noise and gradually refining it into a picture, guided by your text description.
The transformer is the AI design behind ChatGPT and modern language models. Its ‘attention’ mechanism reads whole sentences at once, not word by word.
Embeddings convert words and images into numbers that capture meaning, letting AI compare ideas — the hidden engine of search and recommendations.
Fine-tuning gives an already-trained AI extra training on your examples, turning a generalist model into a specialist for your specific task.
RAG connects AI to external documents and the web so its answers are fresh, accurate, and grounded in real sources instead of just memory.
Prompt engineering is the skill of writing clear instructions that guide AI to better answers. Learn the simple techniques anyone can use.
A large language model (LLM) is AI trained on massive text to understand and generate human language — the tech behind ChatGPT, Claude, and Gemini.
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