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If you've been following the artificial intelligence (AI) narrative over the last couple of years, then chances are you're familiar with the term "large language model" (LLM).
LLMs such as ChatGPT, Gemini, and Claude each boast a multitude of capabilities and selling points, but one of the overlapping features of these models is that they can answer questions on just about any topic almost instantly. In just a couple of years, the rise of LLMs has turned the process of spending minutes or even hours on the internet to find the answer to a question into an antiquated function.
While LLMs can be fun to use, have you ever wondered how these models are able to read your question, scrape the internet for information, and process this data so quickly?
