for mistake, correction in spelling_corrections.items(): text = re.sub(mistake, correction, text) return text # Correct spelling errors in the sample text cleaned_text = correct_spelling_errors(text_with_errors) print(cleaned_text) # output # But it’s not everything about more language ...
I basically want to get AI assisted proofreading/text correction by doing the following (using a local lightweight Mistral-7B model): 1. Select text, then send it via button press to an LLM client running on my computer (LM Studio or ollama) for proofreading2. Receive & process the...
for mistake, correction in spelling_corrections.items(): text = re.sub(mistake, correction, text) return text # Correct spelling errors in the sample text cleaned_text = correct_spelling_errors(text_with_errors) print(cleaned_text) # output # But it’s not everything about more language ...
Self-Correction LLMs Papers This is a collection of research papers forSelf-Correcting Large Language Models with Automated Feedback. Our survey paper:Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. Liangming Pan, Michael Saxon, Wenda Xu, De...
论文引用: DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction 作者基于DIN...
✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models. The first work to correct hallucinations in MLLMs multimodalityhallucinationhallucinationslarge-language-modelsllmmllmmultimodal-large-language-models UpdatedDec 23, 2024
correction that simple blanketing or distorting techniques could be used to bury any DRM watermarks to uselessness by using just random noise and distortion that had no relationship to the watermarking coding. You will find this still holds true for any current type of Generative AI output. So ...
Initially, LSA generates a matrix representation of the input text denoted as a term-by-sentence matrix (A). For the ith phrase, every \((A_i)\)th column vector in the matrix constitutes a term-frequency vector accompanied by respective weights. Given s sentences and t distinct words or ...
Cleanlab Studio, on the other hand, is more than just an extension of the Cleanlab package; it's a no-code platform designed to find and fix problems in real-world datasets. It doesn't just stop at detecting issues but goes further in handling data curation and correction, and even autom...
self-correction:对SQL执行结果,或者代码本身进行自我修正,提高SQL语句准确率 下面我们分别基于C3, DIN-SQL, SQL-PALM,BIRD这四篇论文了解DB应用中可以提升SQL生成效果的各个子模块,前三篇都是基于传统的Spider数据集,BIRD则提出了全新的难度更高更符合真实世界应用的新基准A Big Bench for Large-Scale Database Gro...