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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]
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]
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 transformational grammar, each sentence in a language has two levels of representation: a deep structure and a surface structure. [3] The deep structure represents a sentence's core semantic relations and is mapped onto the surface structure, which follows the sentence's phonological system very closely, via transformations.
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.
By a "grammatical" sentence Chomsky means a sentence that is intuitively "acceptable to a native speaker". [9] It is a sentence pronounced with a "normal sentence intonation". It is also "recall[ed] much more quickly" and "learn[ed] much more easily". [61] Chomsky then analyzes further about the basis of "grammaticality."
The term wh-movement stemmed from early generative grammar in the 1960s and 1970s and was a reference to the theory of transformational grammar, in which the interrogative expression always appears in its canonical position in the deep structure of a sentence but can move leftward from that position to the front of the sentence/clause in the ...