Best AI tools for< Measure Data >

Gretel.ai is a synthetic data platform designed for Generative AI applications. It allows users to generate artificial datasets with the same characteristics as real data, enabling the improvement of AI models without compromising privacy. The platform offers various features such as building synthetic data pipelines, rule-based data transformation, measuring data quality, and customizing language models. Gretel.ai is suitable for industries like finance, healthcare, and the public sector, providing a secure and efficient solution for data generation and model enhancement.

EyePop.ai is an AI-powered computer vision platform designed to empower startups and development agencies across various industries. It offers a fast and easy way to integrate AI-powered vision into products or operations without the need for machine learning expertise. The platform allows users to detect, measure, or count objects in images and videos, providing accurate results and seamless deployment options. EyePop.ai also offers hands-on workshops to help users build, train, and deploy customized AI vision models quickly and efficiently.

The Deepfake Detection Challenge Dataset is a project initiated by Facebook AI to accelerate the development of new ways to detect deepfake videos. The dataset consists of over 100,000 videos and was created in collaboration with industry leaders and academic experts. It includes two versions: a preview dataset with 5k videos and a full dataset with 124k videos, each featuring facial modification algorithms. The dataset was used in a Kaggle competition to create better models for detecting manipulated media. The top-performing models achieved high accuracy on the public dataset but faced challenges when tested against the black box dataset, highlighting the importance of generalization in deepfake detection. The project aims to encourage the research community to continue advancing in detecting harmful manipulated media.

Gestualy is an AI application that measures and improves customer satisfaction and mood quickly and easily through gestures. It allows businesses to interact with customers or guests via gestures, make intelligent decisions, and generate valuable statistical reports using artificial intelligence. Gestualy offers touchless interaction, immediate feedback, anonymized reports on satisfaction, gender, mood, and age, as well as data protection compliance. The application is suitable for various industries, including restaurants, events, and healthcare.

Walks of Life AI is a desktop-based AI tool designed to measure the pulse of your ideas. It allows users to input a URL for analysis and provides advanced options for customization. The tool is created with a focus on privacy and offers a seamless user experience. Walks of Life AI is developed in San Francisco with a mission to assist users in gaining insights and making informed decisions.

iseek.ai is an AI-powered search and analytics platform designed to revolutionize decision-making in professional and higher education institutions. The platform utilizes patented AI and Natural Language Understanding technology to help users find and synthesize essential information quickly and efficiently. iseek.ai offers solutions for accreditation preparation, curriculum design, outcome analytics, and more, enabling users to transform their content and data into actionable insights.

SurveyMonkey is a popular free online survey tool that offers a wide range of features to help users create, distribute, and analyze surveys. With integrations, customizable forms, AI-powered survey creation, and market research solutions, SurveyMonkey caters to various industries and roles. It provides templates for different use cases like customer satisfaction, employee feedback, and event registration. The platform also offers resources, blog posts, and customer success stories to guide users in maximizing the benefits of survey data.

OWOX BI is a leading data democratization platform that empowers businesses by automating business reporting in Google Sheets, simplifying data preparation with SQL and No SQL, and providing AI-powered solutions for marketing analytics. The platform offers features such as AI Copilot for faster SQL queries, Cookieless Analytics Tracking, Dashboard Templates, and integrations with Google Analytics, Google Sheets, BigQuery, and various ad platforms. OWOX BI enables users to centralize and automate marketing and sales data, visualize data with templates, and measure marketing performance effectively. The platform fosters collaboration between data teams and business users, ensuring data accuracy, reliability, and ownership.

Trazable Life Cycle is a sustainability software designed to measure, improve, and report the sustainability of companies. It simplifies the process of measuring and reporting environmental impact by providing tools to create process maps, add environmental impact data, and generate key sustainability indicators. The software is tailored for the food industry, offering over 50 million industry-specific data points to aid in decision-making and compliance with sustainability regulations. Trazable Life Cycle aims to help industry leaders understand and mitigate their environmental impact efficiently.

Community Labs is a modern AI platform that offers advanced business intelligence through a unified AI cloud. It provides real-time insights for decision-making by collecting and analyzing data from various sectors. The platform enables public and private organizations to address challenges, streamline data for maximum impact, and foster innovation and improvement. Community Labs integrates data from diverse sectors like education, healthcare, government, and social services, offering robust capabilities for efficient resource allocation and service delivery. With stringent security standards and advanced AI capabilities, the platform empowers municipal employees to be more productive and impactful.

HypeAuditor is a 100% AI-Powered Influencer Marketing Platform that offers a comprehensive suite of tools for influencer marketing campaigns. With a database of over 168.7 million influencers, HypeAuditor provides features such as influencer discovery, campaign management, market analysis, and influencer analytics. The platform helps brands and agencies grow their business by increasing efficiency and control over influencer marketing strategies. HypeAuditor's AI technology enables users to analyze influencer audiences, performance, and detect fraud issues, providing valuable insights for successful influencer collaborations.

Binah.ai is an AI-powered Health Data Platform that offers a software solution for video-based vital signs monitoring. The platform enables users to measure various health and wellness indicators using a smartphone, tablet, or laptop. It provides support for continuous monitoring through a raw PPG signal from external sensors and offers a range of features such as blood pressure monitoring, heart rate variability, oxygen saturation, and more. Binah.ai aims to make health data more accessible for better care at lower costs by leveraging AI and deep learning algorithms.

Leanbe is a product management platform designed for data-driven teams. It helps product managers capture insights from customers, competitors, and team members to make better product decisions. Leanbe uses AI to continuously update idea scores based on customer behavior, insights, and feedback from the team. This helps product managers prioritize the right ideas and build products that meet the needs of their customers.

LearnQ.ai is a personalized AI-powered learning platform that transforms the learning journey by providing real-time data and insights to students, teachers, and administrators. It utilizes AI to detect and address learning gaps, empower teachers with student analytics, and boost students' confidence through data-driven learning. The platform offers various features such as diagnostic tests, engaging game-based learning modules, full-length practice tests, and a personalized AI tutor named Mia.

Zenus AI is a behavioral analytics tool for events and retail, offering facial analysis and custom solutions for event organizers, retail brands, and exhibitors. The tool provides insights such as demographics, sentiment analysis, and behavioral tracking with 95% accuracy without collecting personal data. It helps businesses understand consumers, attract more exhibitors, and improve visitor experience through AI-powered solutions.

Dezan AI is a DIY data collection and analysis platform powered by AI, designed to help users generate surveys in seconds. The platform allows users to set survey goals, craft surveys, and collect real-time data from interest-based respondents worldwide. Dezan AI offers various survey templates, question types, and data analysis features to streamline the survey creation process. With a focus on interest targeting, the platform ensures reaching the right audience for data collection campaigns. Users can enhance their surveys with AI suggestions and deploy campaigns through Google Ads for targeted audience engagement.

Optimal AI is an AI platform designed for software engineering teams to measure, optimize, and act on metrics to drive impactful outcomes. It helps in improving engineering efficiency, customer delivery, and prioritizing initiatives that deliver customer value. The platform aggregates and reconciles performance data at the team and project level, providing real-time visibility into delivery and insights to enhance processes and interactions in engineering.

Adjust is an AI-driven platform that helps mobile app developers accelerate their app's growth through a comprehensive suite of measurement, analytics, automation, and fraud prevention tools. The platform offers unlimited measurement capabilities across various platforms, powerful analytics and reporting features, AI-driven decision-making recommendations, streamlined operations through automation, and data protection against mobile ad fraud. Adjust also provides solutions for iOS and SKAdNetwork success, CTV and OTT performance enhancement, ROI measurement, fraud prevention, and incrementality analysis. With a focus on privacy and security, Adjust empowers app developers to optimize their marketing strategies and drive tangible growth.

Zonka Feedback is a powerful Customer Feedback and Survey Platform that offers User Segmentation for precise targeting, AI capabilities for smarter surveys, and a wide range of features to measure and improve Customer Experience. It provides solutions for various industries and use cases, integrates with popular tools, and offers in-depth reporting and analytics. Zonka Feedback is known for its modern-looking surveys, ease of use, and extensive integrations, making it a versatile tool for collecting feedback from customers, users, visitors, patients, and employees.

Codeway is a leading mobile AI app developer that actively supports earthquake relief efforts in Turkey. With a focus on creating AI-powered apps, Codeway leverages cutting-edge AI technologies to deliver unparalleled user experiences. The company invests in R&D operations to ensure excellence in technology implementation, and is committed to understanding user needs for continuous app evolution. Codeway's products include mobile apps like Cleanup, Scanner+, Ask AI, Facedance, Wonder, Rumble Rivals, and PixelUp. The company excels in marketing, product management, and culture, attracting top talent and fostering a data-driven roadmap to success.

SynapseML (previously known as MMLSpark) is an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. It provides simple, composable, and distributed APIs for various machine learning tasks such as text analytics, vision, anomaly detection, and more. Built on Apache Spark, SynapseML allows seamless integration of models into existing workflows. It supports training and evaluation on single-node, multi-node, and resizable clusters, enabling scalability without resource wastage. Compatible with Python, R, Scala, Java, and .NET, SynapseML abstracts over different data sources for easy experimentation. Requires Scala 2.12, Spark 3.4+, and Python 3.8+.

RAG Foundry is a library designed to enhance Large Language Models (LLMs) by fine-tuning models on RAG-augmented datasets. It helps create training data, train models using parameter-efficient finetuning (PEFT), and measure performance using RAG-specific metrics. The library is modular, customizable using configuration files, and facilitates prototyping with various RAG settings and configurations for tasks like data processing, retrieval, training, inference, and evaluation.

ZipPy is a research repository focused on fast AI detection using compression techniques. It aims to provide a faster approximation for AI detection that is embeddable and scalable. The tool uses LZMA and zlib compression ratios to indirectly measure the perplexity of a text, allowing for the detection of low-perplexity text. By seeding a compression stream with AI-generated text and comparing the compression ratio of the seed data with the sample appended, ZipPy can identify similarities in word choice and structure to classify text as AI or human-generated.

Middleware is an open-source engineering management tool that helps engineering leaders measure and analyze team effectiveness using DORA metrics. It integrates with CI/CD tools, automates DORA metric collection and analysis, visualizes key performance indicators, provides customizable reports and dashboards, and integrates with project management platforms. Users can set up Middleware using Docker or manually, generate encryption keys, set up backend and web servers, and access the application to view DORA metrics. The tool calculates DORA metrics using GitHub data, including Deployment Frequency, Lead Time for Changes, Mean Time to Restore, and Change Failure Rate. Middleware aims to provide DORA metrics to users based on their Git data, simplifying the process of tracking software delivery performance and operational efficiency.

Chronon is a platform that simplifies and improves ML workflows by providing a central place to define features, ensuring point-in-time correctness for backfills, simplifying orchestration for batch and streaming pipelines, offering easy endpoints for feature fetching, and guaranteeing and measuring consistency. It offers benefits over other approaches by enabling the use of a broad set of data for training, handling large aggregations and other computationally intensive transformations, and abstracting away the infrastructure complexity of data plumbing.

Phospho is a text analytics platform for LLM apps. It helps you detect issues and extract insights from text messages of your users or your app. You can gather user feedback, measure success, and iterate on your app to create the best conversational experience for your users.

Unstract is a no-code platform that enables users to launch APIs and ETL pipelines to structure unstructured documents. With Unstract, users can go beyond co-pilots by enabling machine-to-machine automation. Unstract's Prompt Studio provides a simple, no-code approach to creating prompts for LLMs, vector databases, embedding models, and text extractors. Users can then configure Prompt Studio projects as API deployments or ETL pipelines to automate critical business processes that involve complex documents. Unstract supports a wide range of LLM providers, vector databases, embeddings, text extractors, ETL sources, and ETL destinations, providing users with the flexibility to choose the best tools for their needs.

RAG-FiT is a library designed to improve Language Models' ability to use external information by fine-tuning models on specially created RAG-augmented datasets. The library assists in creating training data, training models using parameter-efficient finetuning (PEFT), and evaluating performance using RAG-specific metrics. It is modular, customizable via configuration files, and facilitates fast prototyping and experimentation with various RAG settings and configurations.

Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

Quadratic is a modern multiplayer spreadsheet application that integrates Python, AI, and SQL functionalities. It aims to streamline team collaboration and data analysis by enabling users to pull data from various sources and utilize popular data science tools. The application supports building dashboards, creating internal tools, mixing data from different sources, exploring data for insights, visualizing Python workflows, and facilitating collaboration between technical and non-technical team members. Quadratic is built with Rust + WASM + WebGL to ensure seamless performance in the browser, and it offers features like WebGL Grid, local file management, Python and Pandas support, Excel formula support, multiplayer capabilities, charts and graphs, and team support. The tool is currently in Beta with ongoing development for additional features like JS support, SQL database support, and AI auto-complete.

The GraphRAG project is a data pipeline and transformation suite designed to extract meaningful, structured data from unstructured text using LLMs. It enhances LLMs' ability to reason about private data. The repository provides guidance on using knowledge graph memory structures to enhance LLM outputs, with a warning about the potential costs of GraphRAG indexing. It offers contribution guidelines, development resources, and encourages prompt tuning for optimal results. The Responsible AI FAQ addresses GraphRAG's capabilities, intended uses, evaluation metrics, limitations, and operational factors for effective and responsible use.

Raspberry is an open source project aimed at creating a toy dataset for finetuning Large Language Models (LLMs) with reasoning abilities. The project involves synthesizing complex user queries across various domains, generating CoT and Self-Critique data, cleaning and rectifying samples, finetuning an LLM with the dataset, and seeking funding for scalability. The ultimate goal is to develop a dataset that challenges models with tasks requiring math, coding, logic, reasoning, and planning skills, spanning different sectors like medicine, science, and software development.

This repository presents the findings of the paper "Compression Represents Intelligence Linearly". The study reveals a strong linear correlation between the intelligence of LLMs, as measured by benchmark scores, and their ability to compress external text corpora. Compression efficiency, derived from raw text corpora, serves as a reliable evaluation metric that is linearly associated with model capabilities. The repository includes the compression corpora used in the paper, code for computing compression efficiency, and data collection and processing pipelines.

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

LitData is a tool designed for blazingly fast, distributed streaming of training data from any cloud storage. It allows users to transform and optimize data in cloud storage environments efficiently and intuitively, supporting various data types like images, text, video, audio, geo-spatial, and multimodal data. LitData integrates smoothly with frameworks such as LitGPT and PyTorch, enabling seamless streaming of data to multiple machines. Key features include multi-GPU/multi-node support, easy data mixing, pause & resume functionality, support for profiling, memory footprint reduction, cache size configuration, and on-prem optimizations. The tool also provides benchmarks for measuring streaming speed and conversion efficiency, along with runnable templates for different data types. LitData enables infinite cloud data processing by utilizing the Lightning.ai platform to scale data processing with optimized machines.

BIA `bob` is a Jupyter-based assistant for interacting with data using large language models to generate Python code. It can utilize OpenAI's chatGPT, Google's Gemini, Helmholtz' blablador, and Ollama. Users need respective accounts to access these services. Bob can assist in code generation, bug fixing, code documentation, GPU-acceleration, and offers a no-code custom Jupyter Kernel. It provides example notebooks for various tasks like bio-image analysis, model selection, and bug fixing. Installation is recommended via conda/mamba environment. Custom endpoints like blablador and ollama can be used. Google Cloud AI API integration is also supported. The tool is extensible for Python libraries to enhance Bob's functionality.

Open-Source Evaluation for LLM Applications. `continuous-eval` is an open-source package created for granular and holistic evaluation of GenAI application pipelines. It offers modularized evaluation, a comprehensive metric library covering various LLM use cases, the ability to leverage user feedback in evaluation, and synthetic dataset generation for testing pipelines. Users can define their own metrics by extending the Metric class. The tool allows running evaluation on a pipeline defined with modules and corresponding metrics. Additionally, it provides synthetic data generation capabilities to create user interaction data for evaluation or training purposes.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

TagUI is an open-source RPA tool that allows users to automate repetitive tasks on their computer, including tasks on websites, desktop apps, and the command line. It supports multiple languages and offers features like interacting with identifiers, automating data collection, moving data between TagUI and Excel, and sending Telegram notifications. Users can create RPA robots using MS Office Plug-ins or text editors, run TagUI on the cloud, and integrate with other RPA tools. TagUI prioritizes enterprise security by running on users' computers and not storing data. It offers detailed logs, enterprise installation guides, and support for centralised reporting.

This repository focuses on utilizing generative AI to bridge the gap between natural language questions and SQL queries, aiming to improve data consumption in enterprise data warehouses. It addresses challenges in SQL query generation, such as foreign key relationships and table joins, and highlights the importance of accuracy metrics like Execution Accuracy (EX) and Exact Set Match Accuracy (EM). The workshop content covers advanced prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning models, and security measures against prompt and SQL injections.

Explore social and environmental data for 169 countries to measure social progress and go beyond GDP. Using data from the Social Progress Imperative and powered by Open AI.

对各种量化问题进行拆解和粗略的估算。注意这种估算主要是靠推测，而不是靠准确的数据，因此仅供参考。理想情况下，估算结果和真实值差距可能在1个数量级以内。即使数值不准确，也希望拆解思路对你有所启发。

Generates items for psychometric instruments to measure psychological constructs.

The Turing Test, first named the imitation game by Alan Turing in 1950, is a measure of a machine's capacity to demonstrate intelligence that's either equal to or indistinguishable from human intelligence.

Provides Raven's Progressive Matrices test with explanations and calculates your IQ score.

IQ Test is designed to simulate an IQ testing environment. It provides a formal and objective experience, delivering questions and processing answers in a straightforward manner.

Formal and structured interactive IQ test platform.

Experto en fórmulas y medidas de Microsoft Excel y Power BI y códigos en VBA

Expert in AI mapping and visualization

Analysis of YouTube influencers

Helping you optimize your product. How can I help?

The #1 open source GPT to build your SKAN 4.0 conversion values schema.

Expert in all aspects of spectral flow cytometry.

Analyzes customer churn and provides strategies to improve loyalty and retention.

Expert in customer retention strategies.

Insights into TV show trends

Define the right marketing metrics for your business

Engaging and detailed social media trends with analytics from Socials such as Instagram, Meta, Twitter(X), TikTok, and more. From Pixel Palette Nation🎨

Expert in automotive customer management advice.

Experto en marketing digital serio y preciso, especializado en contenido para Instagram.