large language model

Large language models (LLMs) are deep learning algorithms that can perform a variety of natural language processing tasks.

They use transformer models and are trained using massive datasets, which enables them to achieve general-purpose language understanding and generation. LLMs work by repeatedly predicting the next token or word based on an input text.

Notable examples of LLMs include OpenAI's GPT models, Google's PaLM, and Meta's LLaMa. LLMs are used for various applications such as text generation, summarization, translation, and prediction. …

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