Tag: LLM
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Large Language Models (LLMs) like GPT, BERT, or T5 don’t think like humans, but they do perform a complex series of steps that allow them to understand text, track context, and generate human-like language. Here’s a breakdown of how they do it, step by step. Step 1: Tokenization — Breaking Text into Pieces Before processing…
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Large Language Models, or LLMs, are a type of artificial intelligence designed to understand and generate human language. They are the foundation behind tools like ChatGPT, Bard, or Claude, and are transforming how we write, search, translate, and interact with machines. What Makes an LLM “Large”? The more parameters and training data a model has,…
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Prompt engineering is the practice of crafting clear, precise, and effective inputs (called prompts) to get the best possible output from a Large Language Model (LLM) like ChatGPT. It’s a bit like asking the right question in the right way — and in the world of AI, how you ask matters just as much as…
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When you interact with an AI like ChatGPT, you might think in words and sentences — but the model doesn’t. Instead, it breaks everything down into tokens. Understanding tokens helps you better control how LLMs work, how much they cost to use, and why some responses get cut off. What is a Token? A token…
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Large Language Models (LLMs) like GPT‑4 and Claude are trained on vast amounts of text from the web, books, and other sources across many languages. This multilingual training enables them to recognize patterns in different languages, allowing both multilingual and sometimes cross-lingual capabilities. How LLMs Learn Language LLMs learn by processing massive datasets and adjusting…