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Large Language Models (LLMs) are deep learning models that understand and generate human-like text, utilizing architectures like Transformers. Key concepts include tokenization, embeddings, attention mechanisms, and probabilistic prediction, with models like BERT for understanding and GPT for generation. Ethical concerns surrounding LLMs involve bias, misinformation, and data privacy, and they can produce incorrect outputs known as hallucinations.

Author
hktemp1997
Language
EN

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