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Llama (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of large language models (LLMs) released by Meta AI starting in February 2023. [2] [3] The latest version is Llama 3.3, released in December 2024. [4] Llama models are trained at different parameter sizes, ranging between 1B and 405B. [5]
Phrase structure rules as they are commonly employed result in a view of sentence structure that is constituency-based. Thus, grammars that employ phrase structure rules are constituency grammars (= phrase structure grammars), as opposed to dependency grammars, [4] which view sentence structure as dependency-based. What this means is that for ...
The clause structure with an inverted subject and verb, used to form questions as described above, is also used in certain types of declarative sentences. This occurs mainly when the sentence begins with adverbial or other phrases that are essentially negative or contain words such as only , hardly , etc.:
In the sentence below from Livy, the sentence topic ("that year") and discourse topic ("the war") are in the middle of the sentence. The fact that war was waged on both land and sea is a weak focus placed in penultimate position; but the new and surprising information is that the number of Roman legions was no fewer than 23, and this comes at ...
llama.cpp is an open source software library that performs inference on various large language models such as Llama. [3] It is co-developed alongside the GGML project, a general-purpose tensor library. [4] Command-line tools are included with the library, [5] alongside a server with a simple web interface. [6] [7]
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
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