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