Best AI tools for< Review Statistics >

DINGR is an AI-powered solution designed to help gamers analyze their performance in League of Legends. The tool uses AI algorithms to provide accurate insights into gameplay, comparing performance metrics with friends and offering suggestions for improvement. DINGR is currently in development, with a focus on enhancing the gaming experience through data-driven analysis and personalized feedback.

arXiv.org is a free distribution service and an open-access archive for nearly 2.4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv.

Localo is an AI-powered local SEO tool and software designed to enhance the visibility and rankings of businesses on Google. It offers a comprehensive set of features such as position tracking, task management, monitoring, audit, publication platform, statistics, citations, and more. With AI-driven tasks and tools, Localo helps businesses attract new customers in their area and improve their online presence. The tool is suitable for various industries and functions, providing specialized solutions to improve business profiles and online visibility.

Surveyed.live is an AI-powered video survey platform that allows businesses to collect feedback and insights from customers through customizable survey templates. The platform offers features such as video surveys, AI touch response, comprehensible dashboard, Chrome extension, actionable insights, integration, predefined library, appealing survey creation, customer experience statistics, and more. Surveyed.live helps businesses enhance customer satisfaction, improve decision-making, and drive business growth by leveraging AI technology for video reviews and surveys. The platform caters to various industries including hospitality, healthcare, education, customer service, delivery services, and more, providing a versatile solution for optimizing customer relationships and improving overall business performance.

AllAboutAI.com is your premier source for AI reviews, guides, news, and insights. The website offers a comprehensive collection of AI tools, writing tools, video tools, productivity tools, and generator tools. It also provides AI how-to guides, glossary resources, and statistics. Stay updated with the latest AI advancements, news, and expert analyses to stay ahead in the AI revolution.

Review Bomb Me is an AI-powered software that helps businesses convert negative reviews into constructive and positive ones. It uses AI to summarize reviews and add them to a dashboard, where businesses can monitor how their Review Bomb is going. Review Bomb Me also provides businesses with a personal user analytics dashboard, so they can see who is engaging with their content and where they are coming from.

MARA AI Review Management is an AI tool designed to help businesses manage and respond to online reviews efficiently. It offers features such as Review Inbox, Review Analytics, Surveys, AI Review Reply Generator, and Smart Snippets. MARA AI utilizes personalized AI responses to improve response rates, save time, and enhance online reputation. With a user-friendly interface and personalized responses, MARA AI is a valuable tool for businesses looking to streamline their review management process.

The Art Review Generator is a natural language processing tool and text generator that analyzes language used to describe art and culture. It generates medium-length sentences based on 57 years of art reviews from Artforum. The tool uses deep matrices of probability to create new text, focusing on modern art reviews with distinctive language. It can simulate thesis and supporting statements, but may also produce poetic loops and glitches. While it offers new insights into original texts, it may exhibit bias and judgement from the training data.

Airbnb Review Summarizer is an AI tool designed to summarize Airbnb listing reviews in a simple, personal, and useful manner. It offers a Chrome Extension Demo created by Allen. The tool aims to provide users with concise summaries of Airbnb reviews to help them make informed decisions when choosing accommodations.

The Princeton Review is an AI-based test preparation and tutoring platform offering personalized academic support, test prep courses, and college admissions counseling. With over 43 years of industry experience and a track record of helping millions of students, The Princeton Review uses sophisticated AI technology to provide students with tailored learning experiences, expert-led videos, interactive reports, and feedback tools for essays and homework. The platform covers a wide range of subjects and exams, from K-12 academics to graduate and professional tests like SAT, ACT, MCAT, LSAT, GRE, GMAT, and more. Additionally, it offers services for college admissions counseling, school partnerships, and international licensing.

MIT Technology Review is a world-renowned, independent media company whose insight, analysis, reviews, interviews and live events explain the newest technologies and their commercial, social and political impact.

MIT Sloan Management Review is a leading source of information and ideas on management, innovation, and leadership. The website provides articles, case studies, videos, and podcasts on a wide range of topics, including artificial intelligence, data analytics, digital transformation, and sustainability. The website also offers a variety of resources for educators, students, and business professionals.

KROCK.IO is an AI-powered video review and collaboration software designed for video producers, creative agencies, and game designers. It offers features such as online proofing, audio annotation, AI storyboard creation, project management, and more. The platform aims to streamline the video creation process by providing tools for efficient feedback, project organization, and client collaboration.

Wisedocs is an AI-powered platform that specializes in medical record reviews, summaries, and insights for claims processing. The platform offers intelligent features such as medical chronologies, workflows, deduplication, intelligent OCR, and insights summaries. Wisedocs streamlines the process of reviewing medical records for insurance, legal, and independent medical evaluation firms, providing speed, accuracy, and efficiency in claims processing. The platform automates tasks that were previously laborious and error-prone, making it a valuable tool for industries dealing with complex medical records.

GINIX is a free online review management platform that leverages AI technologies to help businesses monitor, analyze, and respond to reviews across various platforms. It offers features such as search and monitoring of reviews, alerts for new reviews, and analytics to track review sentiment and impact on revenue. GINIX aims to simplify the process of managing online reviews, boosting revenue by 35% and reducing negative reviews by 70%. The platform automates the review monitoring process, providing insights on customer feedback and helping businesses expand their customer base.

Diligen is a machine learning powered contract analysis tool that helps teams streamline their contract review process. It can identify key provisions, generate contract summaries, and help teams manage review with machine learning powered analysis. Diligen is used by law firms, legal service providers, and corporations around the world to make high quality contract review faster, more efficient, and more cost effective.

Maigon is a state-of-the-art AI application designed for contract review. It offers efficient and accurate AI-driven contract review tools that screen agreements, answer legal questions, and provide guidance for finalizing contracts in record time. Maigon integrates the latest deep learning technology, including the platform-wide integration of OpenAI's GPT-4, to ensure maximum accuracy and efficiency. The application is trusted by industry leaders and helps businesses and organizations worldwide automate the legal document review process, allowing them to focus on strategic tasks.

Robin AI is a legal AI application that offers a platform for accelerating contract review and analysis. It provides services such as generating contract reports 50 times faster, reviewing contracts 80% faster, and finding contract data in less than 3 seconds. The application combines LLMs, proprietary machine learning models, and legal experts to transform contract review for businesses worldwide. With features like precision edits, secure repository, fast turnaround times, and customizable report templates, Robin AI aims to simplify contract processes for legal teams. The platform also offers resources like blog insights, webinars, and legal dictionary definitions to empower users in the legal industry.

Pincites is an AI contract review tool designed for busy legal teams to streamline the contract review process. It offers automated redlining, suggestions, and trend analysis within Microsoft Word, helping legal professionals negotiate contracts faster and more efficiently. Pincites leverages AI to provide real-time feedback, learn user preferences, and identify patterns in contracts to enhance negotiation strategies.

AI Code Reviewer is a tool that uses artificial intelligence to review code. It can help you find bugs, improve code quality, and enforce coding standards.

Sports-Betting-ML-Tools-NBA is a repository containing machine learning and market analysis tools for NBA games. It features a game prediction model trained on 20,000+ games with 500+ data points per game, pre-game analysis with player stats, injuries, and Vegas odds, custom model training with configurable parameters, real-time score updates, and performance tracking. Users can analyze player stats, remove injured players, check Vegas odds and injury reports, review last game performance, and generate game score predictions. The repository also allows users to configure model training parameters, monitor training via Tensorboard, track performance metrics like win/loss percentage, spread accuracy, and profit/loss calculations, and access core statistics per player and team metrics.

The `Call-for-Reviewers` repository aims to collect the latest 'call for reviewers' links from various top CS/ML/AI conferences/journals. It provides an opportunity for individuals in the computer/ machine learning/ artificial intelligence fields to gain review experience for applying for NIW/H1B/EB1 or enhancing their CV. The repository helps users stay updated with the latest research trends and engage with the academic community.

Jarvis is an AI note-taking assistant for Joplin, powered by online and offline LLMs (such as OpenAI's ChatGPT or GPT-4, Hugging Face, Google PaLM, Universal Sentence Encoder). You can chat with it (including prompt templates), use your personal notes as additional context in the chat, automatically annotate notes, perform semantic search, or compile an automatic review of the scientific literature.

The Data Scientist Roadmap2024 provides a comprehensive guide to mastering essential tools for data science success. It includes programming languages, machine learning libraries, cloud platforms, and concepts categorized by difficulty. The roadmap covers a wide range of topics from programming languages to machine learning techniques, data visualization tools, and DevOps/MLOps tools. It also includes web development frameworks and specific concepts like supervised and unsupervised learning, NLP, deep learning, reinforcement learning, and statistics. Additionally, it delves into DevOps tools like Airflow and MLFlow, data visualization tools like Tableau and Matplotlib, and other topics such as ETL processes, optimization algorithms, and financial modeling.

KaTrain is a tool designed for analyzing games and playing go with AI feedback from KataGo. Users can review their games to find costly moves, play against AI with immediate feedback, play against weakened AI versions, and generate focused SGF reviews. The tool provides various features such as previews, tutorials, installation instructions, and configuration options for KataGo. Users can play against AI, receive instant feedback on moves, explore variations, and request in-depth analysis. KaTrain also supports distributed training for contributing to KataGo's strength and training bigger models. The tool offers themes customization, FAQ section, and opportunities for support and contribution through GitHub issues and Discord community.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

AI-LLM-ML-CS-Quant-Overview is a repository providing overview notes on AI, Large Language Models (LLM), Machine Learning (ML), Computer Science (CS), and Quantitative Finance. It covers various topics such as LangGraph & Cursor AI, DeepSeek, MoE (Mixture of Experts), NVIDIA GTC, LLM Essentials, System Design, Computer Systems, Big Data and AI in Finance, Econometrics and Statistics Conference, C++ Design Patterns and Derivatives Pricing, High-Frequency Finance, Machine Learning for Algorithmic Trading, Stochastic Volatility Modeling, Quant Job Interview Questions, Distributed Systems, Language Models, Designing Machine Learning Systems, Designing Data-Intensive Applications (DDIA), Distributed Machine Learning, and The Elements of Quantitative Investing.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

UHGEval is a comprehensive framework designed for evaluating the hallucination phenomena. It includes UHGEval, a framework for evaluating hallucination, XinhuaHallucinations dataset, and UHGEval-dataset pipeline for creating XinhuaHallucinations. The framework offers flexibility and extensibility for evaluating common hallucination tasks, supporting various models and datasets. Researchers can use the open-source pipeline to create customized datasets. Supported tasks include QA, dialogue, summarization, and multi-choice tasks.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

Bisheng is a leading open-source **large model application development platform** that empowers and accelerates the development and deployment of large model applications, helping users enter the next generation of application development with the best possible experience.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

This is the official repository for the ACM CCS 2024 paper 'Do Anything Now': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. The project employs a new framework called JailbreakHub to conduct the first measurement study on jailbreak prompts in the wild, collecting 15,140 prompts from December 2022 to December 2023, including 1,405 jailbreak prompts. The dataset serves as the largest collection of in-the-wild jailbreak prompts. The repository contains examples of harmful language and is intended for research purposes only.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

AI-resources is a repository containing links to various resources for learning Artificial Intelligence. It includes video lectures, courses, tutorials, and open-source libraries related to deep learning, reinforcement learning, machine learning, and more. The repository categorizes resources for beginners, average users, and advanced users/researchers, providing a comprehensive collection of materials to enhance knowledge and skills in AI.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Analyses and gives actionable feedback on web Review type content using Google's Reviews System guidelines and Google's Quality Rater Guidelines

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Provides in-depth Golang code reviews, explanations, and fixes.

I write detailed, engaging Amazon product reviews based on your points.

I generate structured academic paper reviews.

A witty critic of movies and books.

Engaging, friendly guide for academic literature reviews using research question or topic

Summarizes academic books by chapters or segments, with user prompts.

Expert copywriter for crafting detailed product reviews. 商品レビューを書く時間がない方へのサポート。商品の情報をもとに他のユーザーが商品を手に取りたくなるような、簡潔で魅力的なレビューを提供します。ハッシュタグの提案もします。「商品レビューを書いて」と一言指示を出すと、AIが教えて欲しい情報を出力します。改良したver.2はこちら→https://chat.openai.com/g/g-dEIZM8ghu-shang-pin-rebiyuji-shi-zuo-cheng-asisutanto-ver-2-review-writer

Summarizes the latest issue of APS journal

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Provides detailed and insightful book reviews.

In-depth reflection aid for individuals and startup founders

Helps user create professional grade Technical Reviews & Comparisons

Facilitate reflective self-exploration of 2023