Recent breakthroughs in large language models (LLMs) such as GPT-4 are transformed syntactic parsing based on instruction of grammar models by-data and to exclude ...
Recent breakthroughs in large language models (LLMs) such as GPT-4 are transformed syntactic parsing based on instruction of grammar models by-data and to exclude pre-existing grammatical rules. This gives parsing more flexibility and more precise in various scenarios and languages. In the case of NLP, it enhances things such as translation and summarization. To the field of linguistics, it has brought into dispute traditional theories based on rules and demonstrating the ability of models to comprehend syntax without specifically defined rules of grammar triggering recent discussions about the organization and processing of language in general.