Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese

Although large language models (LLMs) have gained widespread attention for their performance in English language We investigate the effectiveness of GPT-3.5 and applications, recent studies have shown that they GPT-4, two large language models, as Grammatical can produce good results for other languages. While the Error Correction (GEC) tools for Brazilian amount of data available for training LLMs in languages Portuguese and compare their performance other than English is often more limited, the success of against Microsoft Word and Google Docs. We introduce these models in tasks such as translation, language modeling, a GEC dataset for Brazilian Portuguese and sentiment analysis demonstrates their potential for with four categories: Grammar, Spelling, Internet, improving language processing across a range of different and Fast typing. Our results show that languages.