grammar gpt

Grammar GPT – Future Tools

Grammar GPT - Future Tools

🚩 WARNING: This tool has been flagged for either trying to game the upvote system, poor customer reviews, or shady practices! Please be aware and use this tool with caution. It is currently under review! Upvoting has been turned off for this tool until we’ve come to a conclusion.

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Grammar-GPT And 8 Other AI Tools For Grammar checking

Grammar GPT is an AI-powered tool that is designed to help writers improve their writing by correcting grammar, punctuation, and spelling errors. It utilizes the ChatGPT technology, which is based on OpenAI algorithms and natural language processing, to understand the context and meaning of the text. With this tool, users can submit their writing and receive suggestions for corrections that can help them produce error-free and polished text. The Grammar GPT tool is ideal for professional writers, students, and anyone who values clear and concise writing. It can help users minimize the time and effort required for proofreading and editing, and ensure that their message is conveyed accurately to their audience. The powerful features and functionalities of the tool are intuitive and easy to use, allowing writers to focus on their creative process without worrying about grammar and language-related mistakes. Being powered by OpenAI, Grammar GPT is highly reliable and performs at a high standard of accuracy, makin

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Examples – OpenAI API

Examples - OpenAI API

Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI’s platform.

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Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for …

Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for ...

Help | Advanced Search We investigate the effectiveness of GPT-3.5 and GPT-4, two large language models, as Grammatical Error Correction (GEC) tools for Brazilian Portuguese and compare their performance against Microsoft Word and Google Docs. We introduce a GEC dataset for Brazilian Portuguese with four categories: Grammar, Spelling, Internet, and Fast typing. Our results show that while GPT-4 has higher recall than other methods, LLMs tend to have lower precision, leading to overcorrection. This study demonstrates the potential of LLMs as practical GEC tools for Brazilian Portuguese and encourages further exploration of LLMs for non-English languages and other educational settings.

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FreedomIntelligence/GrammarGPT: The code and data for … – GitHub

FreedomIntelligence/GrammarGPT: The code and data for ... - GitHub

We read every piece of feedback, and take your input very seriously. The code and data for GrammarGPT. Contribute to FreedomIntelligence/GrammarGPT development by creating an account on GitHub.

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GrammarlyGO: AI Writing Assistance | Grammarly

GrammarlyGO: AI Writing Assistance | Grammarly

2023 © Grammarly Inc. GrammarlyGO brings the power of generative AI to the digital spaces you write in most.

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I used ChatGPT to spellcheck and grammar check my assignment …

Carleton University. Canada’s Capital University. The best University in Ottawa, Ontario. Posted by u/Broad_Sir_541 – 42 votes and 51 comments

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Specifying formal grammar for a domain-specific-language …

Specifying formal grammar for a domain-specific-language ...

I have created a simple domain-specific query language SIMPLE-QL for which I have a formal grammar. I would like chatgpt to convert english into this simple query language. This is so that if my users forget my grammer but are close, chatgpt can fix their query for them. I have had a bit of success passing in some simple documentation and examples as part of the prompt (see below). It actually works pretty well with GPT-4 (via ChatGPT), but less well with GPT-3 which is what I have API access to. I’m wondering if I could feed it a formal grammar definition instead? Or is there a better way to structure the documentation and examples? Has anyone tried to do something similar? Any help/thoughts/pointers appreciated!

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[2303.14342] Analyzing the Performance of GPT-3.5 and GPT-4 in …

[2303.14342] Analyzing the Performance of GPT-3.5 and GPT-4 in ...

Help | Advanced Search GPT-3 and GPT-4 models are powerful, achieving high performance on a variety of Natural Language Processing tasks. However, there is a relative lack of detailed published analysis of their performance on the task of grammatical error correction (GEC). To address this, we perform experiments testing the capabilities of a GPT-3.5 model (text-davinci-003) and a GPT-4 model (gpt-4-0314) on major GEC benchmarks. We compare the performance of different prompts in both zero-shot and few-shot settings, analyzing intriguing or problematic outputs encountered with different prompt formats. We report the performance of our best prompt on the BEA-2019 and JFLEG datasets, finding that the GPT models can perform well in a sentence-level revision setting, with GPT-4 achieving a new high score on the JFLEG benchmark. Through human evaluation experiments, we compare the GPT models’ corrections to source, human reference, and baseline GEC system sentences and observe differences in editing strategies and how they are scored by

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