Best AI tools for< Correct Topics >

Resumecheck.net is an AI-powered resume improvement platform that helps users create error-free, professional resumes that stand out to recruiters. The platform uses GPT4 technology to provide personalized feedback and suggestions, including grammar corrections, formatting adjustments, and industry-specific keyword optimization. Additionally, Resumecheck.net offers an AI Cover Letter Writer that generates tailored cover letters based on the user's resume and the specific job position they are applying for.

AiText is an AI-powered writing assistant that enhances the quality of texts, corrects spelling and grammar errors, and generates new texts effortlessly. It offers a range of features including vocabulary enhancement, sentence structure optimization, grammar and spell checking, and text generation. The application is versatile and can be used for various purposes such as creating social media posts, emails, articles, reports, and professional documents. It is designed to improve communication clarity, accelerate writing tasks, and enhance writing skills for academic and professional pursuits.

RewriteBar is an AI assistant tool designed for macOS users to improve their writing in any application. It offers features such as correcting grammar mistakes, changing writing styles, translating text, simplifying language, adjusting writing tone, summarizing paragraphs, and enhancing ChatGPT output. RewriteBar is a cost-effective solution that works seamlessly across various applications, making it a valuable tool for non-native English speakers, developers, and content creators.

Texthelper is an AI-powered text correction tool designed to assist users in identifying and correcting errors in their written content. Users can input text, which will be analyzed by the tool's AI algorithms to detect and fix mistakes. The tool aims to enhance the overall quality and accuracy of written communication by providing quick and efficient error detection and correction. Texthelper is user-friendly and suitable for individuals, students, professionals, and anyone looking to improve the correctness of their written text.

SafeSpelling is an AI-powered tool designed to help users write without mistakes. It provides users with the ability to input text and receive corrections for any spelling errors. The tool compares the original text with the corrected text, highlighting mistakes and offering suggestions for improvement. SafeSpelling aims to enhance the writing experience by ensuring that users can produce error-free content effortlessly.

slAItor is an AI translation assistant powered by GPT technology. It offers advanced translation features and customization options to enhance the translation experience. Users can benefit from step-by-step translations, multiple translation alternatives, and unique translation styles. The tool supports 28 language pairs and combines recent AI advancements with traditional translation techniques to deliver accurate and efficient translations. slAItor also provides post-processing and evaluation steps to ensure translation quality and offers a user-friendly interface for seamless translation management.

Football Predictions AI is a website that provides users with accurate and reliable football match predictions. Users can access a variety of prediction types, including 1x2, BTTS, Over Under, and Correct Score predictions for matches across different leagues. The site also offers live scores, articles, and settings to customize the user experience. With a focus on user privacy and data protection, Football Predictions AI aims to enhance the football betting experience for enthusiasts and fans.

NeuroSpell is a universal auto-corrector powered by deep learning. It can be used to correct spelling, grammar, and style errors in text. NeuroSpell can be deployed on-premise or in the cloud, and it can be trained on domain-specific vocabulary and sentence structures. NeuroSpell is used by businesses and individuals to improve the quality of their written communication.

The website imgProof is an AI tool designed to automatically proofread images containing text. Users can upload image files to the platform, where the tool will analyze the text for spelling and grammatical errors. imgProof aims to provide a convenient solution for individuals or businesses looking to ensure the accuracy of text within images.

Spruce is an AI tool designed to automatically correct typos in your Slack messages. It edits your messages in real-time to ensure accurate communication. The tool allows users to easily undo corrections by adding a specific reaction to the message. Spruce is a helpful solution for enhancing the quality of written communication within Slack teams.

LanguageTool is an AI-based spelling, style, and grammar checker that helps correct or paraphrase texts across languages. It offers a range of features including grammar checking, paraphrasing, punctuation correction, style improvement, and more. LanguageTool is available as a browser extension, desktop app, and mobile app, and it supports over 30 languages. It is used by over 2000 organizations, including BMW Group, European Union, Spiegel Magazine, and Deutsche Presse-Agentur (dpa).

Trinka is an AI-powered English grammar checker and language enhancement writing assistant designed for academic and technical writing. It corrects contextual spelling mistakes and advanced grammar errors by providing writing suggestions in real-time. Trinka helps professionals and academics ensure formal, concise, and engaging writing.

GrabText is an online OCR tool that allows users to convert handwritten or printed text from photos, graphics, or documents into editable text. It uses ChatGPT to automatically correct spelling, grammar, and other illegal writings. The tool also supports math equations and offers flexible output options such as txt, latex, doc, and pdf.

Gramara is an AI-powered grammar checker that helps you write error-free text. It can detect and correct a wide range of grammar, spelling, and punctuation errors, and it can also provide suggestions for improving your writing style.

FixMeBot is an AI-powered Language Assistant that automatically corrects mistakes, paraphrases, translates, and offers various language-related features. With support for over 90 languages, it helps users enhance their communication by providing accurate and efficient language assistance. The tool is available as a browser extension and a Telegram chatbot, making it convenient for users to access its features. FixMeBot aims to improve writing quality, save time, and expand language skills through its AI-generated suggestions and translations.

Inedit is an AI-powered editor widget that enhances the ability to edit webpage content instantly. It offers features like AI and inline editing, manual mode for error correction, effortless editing of multiple elements, and the ability to inspect deeper structures of webpages. The tool is powered by OpenAI GPT Models, providing unparalleled flexibility and advanced technology to streamline workflow and enhance productivity.

Image Enhancer AI is an advanced tool that allows users to enhance, upscale, and correct images with the power of artificial intelligence. It offers a one-stop solution for all image enhancement needs, providing features like upscaling, face correction, and attention to detail improvements. The tool is designed to help users transform their photos into high-definition, professional-grade visuals for various purposes, from interior design to illustrations and landscape pictures. With simple pricing and no hidden fees, Image Enhancer AI is suitable for both occasional users and professionals looking to enhance their images effortlessly.

Captions is an AI-powered creative studio that helps users create high-quality videos, add subtitles, correct eye contact, trim and compress videos, and more. It is trusted by over 3 million people worldwide and offers a variety of features to make video creation and editing easier and more efficient.

Deep Image AI is a revolutionary AI-powered image enhancer that allows users to upscale images up to 300 megapixels, remove artifacts, correct colors and light, remove backgrounds, and more. It is easy to use and does not require time-consuming manual post-processing. Deep Image AI also offers other AI-powered tools such as an avatar creator, image generator, and generative backdrops.

Essaybot is a free online essay writing tool that helps students write better essays. It provides a variety of features to help students with their writing, including a built-in plagiarism checker, a grammar checker, and a thesaurus. Essaybot also offers a library of sample essays that students can use for inspiration.

TopicGPT is a repository containing scripts and prompts for the paper 'TopicGPT: Topic Modeling by Prompting Large Language Models' (NAACL'24). The 'topicgpt_python' package offers functions to generate high-level and specific topics, refine topics, assign topics to input text, and correct generated topics. It supports various APIs like OpenAI, VertexAI, Azure, Gemini, and vLLM for inference. Users can prepare data in JSONL format, run the pipeline using provided scripts, and evaluate topic alignment with ground-truth labels.

LLM Steer is a Python module designed to steer Large Language Models (LLMs) towards specific topics or subjects by adding steer vectors to different layers of the model. It enhances the model's capabilities, such as providing correct responses to logical puzzles. The tool should be used in conjunction with the transformers library. Users can add steering vectors to specific layers of the model with coefficients and text, retrieve applied steering vectors, and reset all steering vectors to the initial model. Advanced usage involves changing default parameters, but it may lead to the model outputting gibberish in most cases. The tool is meant for experimentation and can be used to enhance role-play characteristics in LLMs.

RAG with txtai is a Retrieval Augmented Generation (RAG) Streamlit application that helps generate factually correct content by limiting the context in which a Large Language Model (LLM) can generate answers. It supports two categories of RAG: Vector RAG, where context is supplied via a vector search query, and Graph RAG, where context is supplied via a graph path traversal query. The application allows users to run queries, add data to the index, and configure various parameters to control its behavior.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

This repository is a curated list of research papers that explore the integration of Large Language Model (LLM) technology with tabular data. It aims to provide a comprehensive resource for researchers and practitioners interested in this emerging field. The repository includes papers on a wide range of topics, including table-to-text generation, table question answering, and tabular data classification. It also includes a section on related datasets and resources.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

The repository 'Awesome LLM Reasoning Openai-o1 Survey' provides a collection of survey papers and related works on OpenAI o1, focusing on topics such as LLM reasoning, self-play reinforcement learning, complex logic reasoning, and scaling law. It includes papers from various institutions and researchers, showcasing advancements in reasoning bootstrapping, reasoning scaling law, self-play learning, step-wise and process-based optimization, and applications beyond math. The repository serves as a valuable resource for researchers interested in exploring the intersection of language models and reasoning techniques.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

This is a development tutorial for eBPF based on CO-RE (Compile Once, Run Everywhere). It provides practical eBPF development practices from beginner to advanced, including basic concepts, code examples, and real-world applications. The tutorial focuses on eBPF examples in observability, networking, security, and more. It aims to help eBPF application developers quickly grasp eBPF development methods and techniques through examples in languages such as C, Go, and Rust. The tutorial is structured with independent eBPF tool examples in each directory, covering topics like kprobes, fentry, opensnoop, uprobe, sigsnoop, execsnoop, exitsnoop, runqlat, hardirqs, and more. The project is based on libbpf and frameworks like libbpf, Cilium, libbpf-rs, and eunomia-bpf for development.

The AI Scientist is a comprehensive system for fully automatic scientific discovery, enabling Foundation Models to perform research independently. It aims to tackle the grand challenge of developing agents capable of conducting scientific research and discovering new knowledge. The tool generates papers on various topics using Large Language Models (LLMs) and provides a platform for exploring new research ideas. Users can create their own templates for specific areas of study and run experiments to generate papers. However, caution is advised as the codebase executes LLM-written code, which may pose risks such as the use of potentially dangerous packages and web access.

This repository focuses on test-time computing, exploring various strategies such as test-time adaptation, modifying the input, editing the representation, calibrating the output, test-time reasoning, and search strategies. It covers topics like self-supervised test-time training, in-context learning, activation steering, nearest neighbor models, reward modeling, and multimodal reasoning. The repository provides resources including papers and code for researchers and practitioners interested in enhancing the reasoning capabilities of large language models.

AReaL (Ant Reasoning RL) is an open-source reinforcement learning system developed at the RL Lab, Ant Research. It is designed for training Large Reasoning Models (LRMs) in a fully open and inclusive manner. AReaL provides reproducible experiments for 1.5B and 7B LRMs, showcasing its scalability and performance across diverse computational budgets. The system follows an iterative training process to enhance model performance, with a focus on mathematical reasoning tasks. AReaL is equipped to adapt to different computational resource settings, enabling users to easily configure and launch training trials. Future plans include support for advanced models, optimizations for distributed training, and exploring research topics to enhance LRMs' reasoning capabilities.

LLM-Agent-Survey is a comprehensive repository that provides a curated list of papers related to Large Language Model (LLM) agents. The repository categorizes papers based on LLM-Profiled Roles and includes high-quality publications from prestigious conferences and journals. It aims to offer a systematic understanding of LLM-based agents, covering topics such as tool use, planning, and feedback learning. The repository also includes unpublished papers with insightful analysis and novelty, marked for future updates. Users can explore a wide range of surveys, tool use cases, planning workflows, and benchmarks related to LLM agents.

The llama-recipes repository provides a scalable library for fine-tuning Llama 2, along with example scripts and notebooks to quickly get started with using the Llama 2 models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Llama 2 and other tools in the LLM ecosystem. The examples here showcase how to run Llama 2 locally, in the cloud, and on-prem.

Dynamic quiz game with a wide range of topics, +3 points for correct answers, -2 for incorrect. 5-minute limit.

Highly accurate and reliable, ensures information is 100% correct, never hallucinates.

Engaging English partner with distinct black-yellow corrections.

Apoyo en corrección de textos académicos

Correct English grammar errors or translate sentences into American English and British English.

I correct spelling, grammar, and punctuation errors in texts, in any language

Create factually correct unique news-driven listicles to attract backlinks

Understand the correct credit card to use to maximize your reward points.

A religious knowledge expert providing comprehensive, correct, and unbiased information.

A highly intelligent conversationalist. Direct, concise, rational, and brutally honest. I want to correct your false beliefs, not feed your ego.

This GPT is the most confident GPT out there. It performs and gives answers without doubting itself. It will correct you if you give wrong suggestions. Bringing back the confidence to ChatGPT!

Corrector in text's language with localized headings

Je corrige les fautes d'orthographe et de grammaire en français et explique les erreurs.

Analyzes and corrects news article charts, using Korean fonts if needed.

ひらがな文章を自動的に漢字かな交じり文章に変換し、自動的に誤字を修正する

Corrects texts to academic US English grammar standards.

A Mandarin Chinese grammar tutor, offering grammar corrections and advice.

English conversation teacher, correcting grammar and engaging with questions.

Nederlandse taaldeskundige voor tekstcorrectie en -redactie. Plak je tekst hieronder.. ⬇️

Niño sabiondo dedicado a la corrección de textos en español. Claridad y precisión son mi obsesión