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词汇 large-language-model
释义 large language model
noun[ C ]
uk /ˌlɑːdʒ ˈlæŋ.ɡwɪdʒ ˌmɒd.əl/ us /ˌlɑːrdʒ ˈlæŋ.ɡwɪdʒ ˌmɑː.dəl/(abbreviationLLM)
computing specialized
a complex mathematical representation of language that is based on very large amounts of data and allows computers to produce language that seems similar to what a human might say:
A large language model uses deep learning techniques and massive datasets.
Large language models open new possibilities of text understanding and text generation in software systems.
The large language model is trained on vast amounts of data scraped from the internet.
Large language models recognize, summarize, translate, predict, and generate text and other content.
A large language model (LLM) consists of a neural network with many parameters, trained on large quantities of text.
An AI-based decoder, trained to match brain activity to meaning using a large language model, was able to "read minds" and generate text from brain activity alone.
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