Best AI tools for< Measure Performance Metrics >

UserTesting is an AI-powered Human Insight Platform that helps businesses improve customer experience by providing real-time feedback from diverse perspectives. The platform offers comprehensive testing capabilities, machine-learning powered insights, and benchmarking tools to measure performance. UserTesting enables users to target specific audiences, validate findings with confidence, and share insights across the organization. With enhanced AI-powered surveys, easy insight-sharing, and collaboration features, UserTesting streamlines the product development process and helps businesses make data-driven decisions.

SportBoost AI is an AI-powered platform that aims to help athletes improve their performance by providing innovative solutions based on advanced Artificial Intelligence technology. The platform offers tools to measure and track performance metrics during games and training sessions across various sports, catering to athletes at all levels from amateur to professional. SportBoost AI is committed to democratizing access to advanced data analytics in sports and continuously innovating to enhance athletic excellence.

Crayon is a competitive intelligence software that helps businesses track competitors, win more deals, and stay ahead in the market. Powered by AI, Crayon enables users to analyze, enable, compete, and measure their competitive landscape efficiently. The platform offers features such as competitor monitoring, AI news summarization, importance scoring, content creation, sales enablement, performance metrics, and more. With Crayon, users can receive high-priority insights, distill articles about competitors, create battlecards, find intel to win deals, and track performance metrics. The application aims to make competitive intelligence seamless and impactful for sales teams.

Impulze.ai is an Influencer Analytics Platform designed to help users discover and manage influencers from a vast global database covering Instagram, TikTok, and YouTube. The platform offers AI algorithms that effectively identify the right influencers, allowing users to effortlessly filter influencers based on various criteria such as engagement rate, follower count, location, age, and gender. Additionally, Impulze.ai provides audience analytics, fraud detection, and data-driven matching to help users find the perfect match for their brand. With features like real-time performance metrics, audience filters, and campaign tracking, Impulze.ai streamlines influencer marketing strategies for agencies and marketers, saving time and enhancing brand awareness.

Tara AI is an AI platform designed for software engineering teams to measure, optimize, and act on metrics to drive impactful outcomes. It helps in delivering with engineering analytics, linking issues to requirements, running cycles on autopilot, eliminating risks and blockers, aligning on project scope, prioritizing team focus, tracking completed tasks, and running stand-ups by team integrations. Tara AI provides real-time insights and alerts on delivery by unifying and enriching engineering activity without changing teams' workflows.

Simpleem is an Artificial Emotional Intelligence (AEI) tool that helps users uncover intentions, predict success, and leverage behavior for successful interactions. By measuring all interactions and correlating them with concrete outcomes, Simpleem provides insights into verbal, para-verbal, and non-verbal cues to enhance customer relationships, track customer rapport, and assess team performance. The tool aims to identify win/lose patterns in behavior, guide users on boosting performance, and prevent burnout by promptly identifying red flags. Simpleem uses proprietary AI models to analyze real-world data and translate behavioral insights into concrete business metrics, achieving a high accuracy rate of 94% in success prediction.

AdaraChatbot is a platform that allows users to build their own chatbot using OpenAI Assistant API. It offers seamless integration for effortlessly incorporating a chatbot into websites. Users can test the chatbot assistant, ask questions, and receive responses powered by OpenAI Assistant API. AdaraChatbot provides features such as building chatbots with OpenAI's assistant, easy integration with websites, user inquiry with lead collection, real-time analytics, file attachments, and compatibility with popular website platforms. The application offers different pricing plans suitable for personal projects, organizations, and tailored solutions for large-scale operations.

Focia is an AI-powered engagement optimization tool that helps users predict, analyze, and enhance their content performance across various digital platforms. It offers features such as ranking and comparing content ideas, content analysis, feedback generation, engagement predictions, workspace customization, and real-time model training. Focia's AI models, including Blaze, Neon, Phantom, and Omni, specialize in analyzing different types of content on platforms like YouTube, Instagram, TikTok, and e-commerce sites. By leveraging Focia, users can boost their engagement, conduct A/B testing, measure performance, and conceptualize content ideas effectively.

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.

KERV is an AI-powered video and creative technology company that offers ad performance solutions, publisher revenue opportunities, in-show monetization solutions, and data and measurement services. Their patented image recognition and product correlation technology enable deeper relationships between publishers, brands, and consumers. KERV's AI technology makes any video explorable and shoppable with unrivaled speed and precision, delivering real business outcomes. They provide intelligent video solutions, active attention indexing, greater speed and precision, 1st party data insights, and brand safety measures.

SymTrain is an AI-powered platform that automates training and coaching for contact center agents. By utilizing simulations and AI technology, SymTrain offers a cost-effective solution that enhances agent performance, reduces training time, and improves overall customer satisfaction. The platform provides automated role-play scenarios, consistent feedback, and data-driven coaching to help organizations streamline their training processes and achieve better results. SymTrain revolutionizes how companies train and coach their agents, leading to increased efficiency, revenue, and customer satisfaction.

Pepper Content is an AI-powered content marketing platform that helps enterprise marketers create better content, faster. With Pepper Content, you can access a powerful technology stack, a network of on-demand creative experts, and the strategic guidance you need to succeed. Pepper Content's platform includes a full suite of tools to help you with every stage of the content marketing process, from strategy to creation to measurement. With Pepper Content, you can:

Bobble AI is a Conversation Media Platform that offers Marketing Solutions, Data Intelligence, and Tech Solutions. It enriches everyday conversations with authentic and persuasive content, providing a powerful platform for users. The flagship product boasts 80M+ users, 100K+ stickers & GIFs, and supports over 100 languages. Bobble AI offers various keyboard applications tailored for different regional languages, each with unique features to enhance chatting experiences. Additionally, it provides services like voice-to-text conversion, emoji prediction, and an IME test suite for measuring keyboard performance.

Omnitrain is an AI-powered ad creation tool that revolutionizes the way marketers create high-quality ads at scale. With cutting-edge AI technology, Omnitrain enables users to craft compelling, high-converting ads in minutes, without the need for design skills. The platform combines the expertise of a graphic designer, marketer, copywriter, and storyteller into one, generating hundreds of ad variations with just a click. Omnitrain offers advanced customization options, scalability, AI copy generation, versatile ad formats, and marketing frameworks to empower users in creating resonant ads effortlessly.

TechTarget is a leading provider of purchase intent data and marketing services for the technology industry. Our data-driven solutions enable technology companies to identify and engage with their target audiences, and to measure the impact of their marketing campaigns. We offer a range of products and services, including:

Brandwatch is a social media management and analytics platform that helps businesses understand and engage with their customers. It offers a range of features, including social listening, influencer marketing, and content management. Brandwatch is used by some of the world's largest brands, including Virgin Holidays, OnePlus, and Metia.

Omni Engage is a powerful omnichannel communications software designed to help businesses create meaningful and personalized interactions with their customers. It allows businesses to connect with their audience across multiple channels, including email, social media, and voice, and deliver a consistent and memorable experience for every customer. Omni Engage simplifies customer engagement with its Unified Inbox, which enables agents to handle requests from all channels seamlessly and efficiently. It also offers AI automation with Omni Automate, which streamlines customer interactions by automating routine inquiries and providing rapid response times. With its robust reporting and analytics capabilities, Omni Engage empowers supervisors to measure engagement and performance across all channels, identify areas for improvement, and drive success.

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.

Bazaarvoice is an AI-driven influencer marketing platform that helps brands connect, manage, and measure creator collaborations. It leverages user-generated content (UGC) to enhance the consumer journey and omnichannel experience. The platform offers solutions for collecting content, driving conversion, amplifying content, optimizing strategy, and building loyalty. Bazaarvoice Affable.ai, a part of the platform, specializes in AI-driven influencer marketing solutions, enabling users to find and manage influencers seamlessly. The platform automates and consolidates creator management, provides insights on creators, and offers tracking and reporting capabilities.

GoAudience is a custom audience platform that leverages AI to help brands find new customers based on their credit card spending history. It integrates easily with Meta and is effective across all categories. The platform offers features such as AI-powered audience creation, real-time consumer spending data, plug-and-play simplicity, enterprise precision at SMB pricing, and the ability to pause subscriptions anytime. GoAudience enables users to create top-performing custom audiences, track performance, measure ROI, and present results easily. It aims to provide targeting that is always on target by building custom audience lists from real-time consumer spending data. The platform prioritizes user privacy by securely transmitting data and deleting raw data after transmission.

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.

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.

This project is a port of Andrej Karpathy's llm.c to Mojo, currently in beta. It is under active development and subject to changes. Users should expect to encounter bugs and unfinished features.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

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.

The Alignment Handbook provides robust training recipes for continuing pretraining and aligning language models with human and AI preferences. It includes techniques such as continued pretraining, supervised fine-tuning, reward modeling, rejection sampling, and direct preference optimization (DPO). The handbook aims to fill the gap in public resources on training these models, collecting data, and measuring metrics for optimal downstream performance.

Athina is an open-source library designed to help engineers improve the reliability and performance of Large Language Models (LLMs) through eval-driven development. It offers plug-and-play preset evals for catching and preventing bad outputs, measuring model performance, running experiments, A/B testing models, detecting regressions, and monitoring production data. Athina provides a solution to the flaws in current LLM developer workflows by offering rapid experimentation, customizable evaluators, integrated dashboard, consistent metrics, historical record tracking, and easy setup. It includes preset evaluators for RAG applications and summarization accuracy, as well as the ability to write custom evals. Athina's evals can run on both development and production environments, providing consistent metrics and removing the need for manual infrastructure setup.

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.

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.

LLMPerf is a tool designed for evaluating the performance of Language Model APIs. It provides functionalities for conducting load tests to measure inter-token latency and generation throughput, as well as correctness tests to verify the responses. The tool supports various LLM APIs including OpenAI, Anthropic, TogetherAI, Hugging Face, LiteLLM, Vertex AI, and SageMaker. Users can set different parameters for the tests and analyze the results to assess the performance of the LLM APIs. LLMPerf aims to standardize prompts across different APIs and provide consistent evaluation metrics for comparison.

ByteMLPerf is an AI Accelerator Benchmark that focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware. Byte MLPerf has the following characteristics: - Models and runtime environments are more closely aligned with practical business use cases. - For ASIC hardware evaluation, besides evaluate performance and accuracy, it also measure metrics like compiler usability and coverage. - Performance and accuracy results obtained from testing on the open Model Zoo serve as reference metrics for evaluating ASIC hardware integration.

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.

This repository provides advanced AI explainability for PyTorch, offering state-of-the-art methods for Explainable AI in computer vision. It includes a comprehensive collection of Pixel Attribution methods for various tasks like Classification, Object Detection, Semantic Segmentation, and more. The package supports high performance with full batch image support and includes metrics for evaluating and tuning explanations. Users can visualize and interpret model predictions, making it suitable for both production and model development scenarios.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

Moonshot is a simple and modular tool developed by the AI Verify Foundation to evaluate Language Model Models (LLMs) and LLM applications. It brings Benchmarking and Red-Teaming together to assist AI developers, compliance teams, and AI system owners in assessing LLM performance. Moonshot can be accessed through various interfaces including User-friendly Web UI, Interactive Command Line Interface, and seamless integration into MLOps workflows via Library APIs or Web APIs. It offers features like benchmarking LLMs from popular model providers, running relevant tests, creating custom cookbooks and recipes, and automating Red Teaming to identify vulnerabilities in AI systems.

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.

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.

Define the right marketing metrics for your business

根据《战略地图》回答问题

Guiding you from ambiguous ideas through structured and effective OKRs (Objectives and Key Results)

Insights into TV show trends

Guides product branding strategies to enhance organizational market presence.

Mastering LinkedIn ad optimization with technical, targeting, and creative insights for all levels of LinkedIn advertiser

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.

Chat de ayuda a la gestión del Brand Ambassador

Find influencers across Instagram, TikTok, and YouTube whose audience aligns with your target demographic to effectively engage with your customers.

Analysis of YouTube influencers

Analyzes investments for sustainability and social impact, with ESG reporting guidance.

Expert in ABM strategies and GTM fundamentals for B2B marketing

Engaging and supportive AI for strategic OKR planning.

Encourages with positive, practical OKR guidance

Expert in data encoding schemes

Methodical and elegant programming guide, always accurate.

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.

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.

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.