A large language model is a deep neural network trained on massive amounts of text so it can predict and generate words in sequence. Because of this broad, data-driven training, an LLM can perform a wide range of language tasks-such as answering questions, summarizing, and translating-without being explicitly programmed for each one. It is not an AWS service, a dataset, or hardware; those items either use models, provide data, or accelerate inference rather than embodying the model itself.
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Fundamentals of AI and ML
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