Best AI tools for< Review Logs And Metrics >

Zevo.ai is an AI-powered code visualization tool designed to accelerate code comprehension, deployment, and observation. It offers dynamic code analysis, contextual code understanding, and automatic code mapping to help developers streamline shipping, refactoring, and onboarding processes for both legacy and existing applications. By leveraging AI models, Zevo.ai provides deeper insights into code, logs, and cloud infrastructure, enabling developers to gain a better understanding of their codebase.

Resolvd is an AI-powered incident resolution platform that creates a knowledge base of logs, data sources, and apps to autonomously diagnose and resolve incidents. It helps cut down response time, reduce manual log review efforts, and streamline data querying with automated anomaly detection. Resolvd integrates with various systems like Slack, Jira, and PagerDuty to deliver insights in real-time and supercharge incident response.

Jam is a bug-tracking tool that helps developers reproduce and debug issues quickly and easily. It automatically captures all the information engineers need to debug, including device and browser information, console logs, network logs, repro steps, and backend tracing. Jam also integrates with popular tools like GitHub, Jira, Linear, Slack, ClickUp, Asana, Sentry, Figma, Datadog, Gitlab, Notion, and Airtable. With Jam, developers can save time and effort by eliminating the need to write repro steps and manually collect information. Jam is used by over 90,000 developers and has received over 150 positive reviews.

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, AI Review Reply Generator, Smart Snippets, and Brand Voice to streamline the review management process. With MARA, businesses can save time, improve response rates, and learn from customer feedback to enhance their online reputation.

Airbnb Review Summarizer is an AI tool designed to summarize Airbnb listing reviews in a simple, personal, and useful manner. The tool aims to provide users with a quick overview of the reviews to help them make informed decisions about booking accommodations. By utilizing AI technology, the tool can analyze and condense lengthy reviews into concise summaries, saving users time and effort. With a user-friendly interface and seamless integration as a Chrome Extension, Airbnb Review Summarizer offers a convenient solution for Airbnb users seeking to streamline their review reading process.

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.

The Art Review Generator is a natural language processing tool and text generator that analyzes and generates language used to describe art and culture. It utilizes a vast amount of training data from 57 years of art reviews to create medium-length sentences. While not classified as artificial intelligence, it employs deep matrices of probability to generate text based on the input prompt. The tool focuses on modern art reviews, capturing the distinctive language of human expression, including intent, emotion, technique, and impact. Despite potential biases and glitches, it offers insights into the evolution of language in art critiques over the years.

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.

Robin AI is a legal AI application that accelerates contract review and analysis, offering features such as contract reports generation, contract review acceleration, quick contract data querying, fast contract services, and secure contract management. The platform provides a range of services including insights on AI and law, security measures, webinars on Legal AI, success stories from customers, and in-depth resources for the legal industry. Robin AI aims to simplify contract processes for legal teams worldwide by leveraging AI-native software and proprietary machine learning models.

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 efficiency in closing deals fast by providing AI-driven contract review tools that screen agreements, answer legal questions, and offer guidance for finalizing contracts in record time. Maigon integrates the latest deep learning technology and supports various contract types based on customer demand. The platform also announces the integration of OpenAI's GPT-4 for enhanced compliance review experience.

Pincites is an AI contract review tool designed for busy legal teams. It offers AI-generated redlines and comments within Microsoft Word, helping in-house legal teams to review contracts faster and more consistently. Pincites allows users to scan agreements for potential issues, apply AI-generated redlines, and interactively chat with documents. The tool also provides playbook management, enabling users to control redlines suggested by the AI based on their preferences and existing guidance.

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.

ReviewGPT is an AI-powered tool that helps users analyze Amazon products and reviews to make informed purchasing decisions. It utilizes AI to identify counterfeit products, pirated books, fake reviews, unreliable third-party sellers, and products with potential safety or health risks. By leveraging ReviewGPT, users can save time and money while ensuring they purchase genuine and high-quality products from Amazon.

editoReview is a consulting platform and marketplace that helps academic editors and marketing agents to review the AI intelligence at the interface of research articles and service plugins API by consulting with authors and developers. It allows users to start a new review using an AI chat transcript or from a template document, cite the reference paper or app to schedule a consultation meeting with the author or developer, and pay the optional consultation and publish the review transcripts with shareable links.

Flow Prompt is a dynamic library for managing and optimizing prompts for large language models. It facilitates budget-aware operations, dynamic data integration, and efficient load distribution. Features include CI/CD testing, dynamic prompt development, multi-model support, real-time insights, and prompt testing and evolution.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

SwanLab is an open-source, lightweight AI experiment tracking tool that provides a platform for tracking, comparing, and collaborating on experiments, aiming to accelerate the research and development efficiency of AI teams by 100 times. It offers a friendly API and a beautiful interface, combining hyperparameter tracking, metric recording, online collaboration, experiment link sharing, real-time message notifications, and more. With SwanLab, researchers can document their training experiences, seamlessly communicate and collaborate with collaborators, and machine learning engineers can develop models for production faster.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

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.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

Azure OpenAI Service is a central capability with Azure API Management, providing guidance and tools for organizations to implement Azure OpenAI in a production environment with an emphasis on cost control, secure access, and usage monitoring. It includes infrastructure-as-code templates, CI/CD pipelines, secure access management, usage monitoring, load balancing, streaming requests, and end-to-end samples like ChatApp and Azure Dashboards.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

The collection is actively updated with the help of an internal literature search engine.

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

Legal Expert in reviewing Unilateral Non-Disclosure Agreement (Powered by LegalNow ai.legalnow.xyz）

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Legal expert in reviewing influencer agreement (Powered by LegalNow, ai.legalnow.xyz)

Review your tech service agreements 24/7, find legal risk and give suggestions. (Powered by LegalNow ai.legalnow.xyz)

Legal Expert in reviewing Employment Agreement (Full-Time) (Powered by LegalNow ai.legalnow.xyz)）

code security expert to do code review

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