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  • How the Transformer Architecture Works, Explained Without Math

    How the Transformer Architecture Works, Explained Without Math

    The transformer is a neural network design in which every piece of an input, such as every word in a sentence, can look directly at every other piece at the same time and decide which ones matter for understanding it. That ability, called attention, replaced the older approach of reading text one word after another.…

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  • What Is a Large Language Model and How Does It Generate Text?

    What Is a Large Language Model and How Does It Generate Text?

    A large language model (LLM) is a deep learning model trained on enormous amounts of text to predict what comes next in a sequence. To answer a question, it breaks your prompt into small pieces called tokens, converts them into numbers, uses a neural network to estimate which token is most likely to follow, picks…

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