Best AI tools for< Measure Ad 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.

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.

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.

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.

Hive AI provides a suite of AI models and solutions for understanding, searching, and generating content. Their AI models can be integrated into applications via APIs, enabling developers to add advanced content understanding capabilities to their products. Hive AI's solutions are used by businesses in various industries, including digital platforms, sports, media, and marketing, to streamline content moderation, automate image search and authentication, measure sponsorships, and monetize ad inventory.

Horizon3.ai Solutions offers the NodeZero™ Platform, an AI-powered autonomous penetration testing tool designed to enhance cybersecurity measures. The platform combines expert human analysis by Offensive Security Certified Professionals with automated testing capabilities to streamline compliance processes and proactively identify vulnerabilities. NodeZero empowers organizations to continuously assess their security posture, prioritize fixes, and verify the effectiveness of remediation efforts. With features like internal and external pentesting, rapid response capabilities, AD password audits, phishing impact testing, and attack research, NodeZero is a comprehensive solution for large organizations, ITOps, SecOps, security teams, pentesters, and MSSPs. The platform provides real-time reporting, integrates with existing security tools, reduces operational costs, and helps organizations make data-driven security decisions.

Pigeon Studio is an animation studio that specializes in creating engaging and impactful animated content for businesses and organizations. With a team of experienced animators and designers, Pigeon Studio can bring your ideas to life with high-quality 2D and 3D animation. Whether you need an explainer video, a marketing video, or a training video, Pigeon Studio can create a custom solution that meets your needs.

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.

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.

Brand24 is a powerful AI-powered social listening tool that helps businesses protect their brand reputation, measure their brand awareness, analyze their competitors, and discover customer insights. With Brand24, you can track mentions of your brand across social media, news, blogs, videos, forums, podcasts, reviews, and more. You can also use Brand24 to track hashtags, measure the reach of your marketing campaigns, and get access to valuable customer insights.

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.

Metabob is an AI-powered code review tool that helps developers detect, explain, and fix coding problems. It utilizes proprietary graph neural networks to detect problems and LLMs to explain and resolve them, combining the best of both worlds. Metabob's AI is trained on millions of bug fixes performed by experienced developers, enabling it to detect complex problems that span across codebases and automatically generate fixes for them. It integrates with popular code hosting platforms such as GitHub, Bitbucket, Gitlab, and VS Code, and supports various programming languages including Python, Javascript, Typescript, Java, C++, and C.

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.

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.

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.

Attune Health Mobile App is an AI-enabled application that offers contactless measurement of vital signs such as blood pressure, oxygen saturation, HRV, stress levels, and Hemoglobin through a simple face scan. It provides users with an easy, fast, and affordable way to track their wellness markers using state-of-the-art technology and biomarker analysis. The app empowers individuals to take control of their health by offering real-time measurements and accurate results without the need for wearables. Attune Health also caters to corporations, promoting healthy teams and overall wellbeing for better productivity and satisfaction.

SportBoost AI is an AI-powered application designed to help athletes measure and improve their performance in various sports. The platform offers innovative solutions that leverage advanced Artificial Intelligence technology to track metrics such as ball speeds and jump performances. SportBoost AI aims to democratize access to performance data for athletes and coaches at all levels, from amateur to professional. The application is committed to elevating athletic excellence through continuous research and development efforts.

Vidya.us is an AI-powered platform designed to enhance student engagement by generating thought-provoking and customized questions for effective collaboration in educational settings. The platform offers an AI question generator to simplify classroom engagement, unlimited question libraries for collaboration, and live classroom parameter measurement. Vidya.us aims to streamline content creation and delivery in schools, colleges, and workplaces through innovative AI technology.

Robyn is an experimental, semi-automated and open-sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. It uses various machine learning techniques to define media channel efficiency and effectivity, explore adstock rates and saturation curves. Built for granular datasets with many independent variables, especially suitable for digital and direct response advertisers with rich data sources. Aiming to democratize MMM, make it accessible for advertisers of all sizes, and contribute to the measurement landscape.

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.

MME-RealWorld is a benchmark designed to address real-world applications with practical relevance, featuring 13,366 high-resolution images and 29,429 annotations across 43 tasks. It aims to provide substantial recognition challenges and overcome common barriers in existing Multimodal Large Language Model benchmarks, such as small data scale, restricted data quality, and insufficient task difficulty. The dataset offers advantages in data scale, data quality, task difficulty, and real-world utility compared to existing benchmarks. It also includes a Chinese version with additional images and QA pairs focused on Chinese scenarios.

A curated list of Generative AI projects, tools, artworks, and models

ChatGLM.cpp is a C++ implementation of ChatGLM-6B, ChatGLM2-6B, ChatGLM3-6B and more LLMs for real-time chatting on your MacBook. It is based on ggml, working in the same way as llama.cpp. ChatGLM.cpp features accelerated memory-efficient CPU inference with int4/int8 quantization, optimized KV cache and parallel computing. It also supports P-Tuning v2 and LoRA finetuned models, streaming generation with typewriter effect, Python binding, web demo, api servers and more possibilities.

GPTQModel is an easy-to-use LLM quantization and inference toolkit based on the GPTQ algorithm. It provides support for weight-only quantization and offers features such as dynamic per layer/module flexible quantization, sharding support, and auto-heal quantization errors. The toolkit aims to ensure inference compatibility with HF Transformers, vLLM, and SGLang. It offers various model supports, faster quant inference, better quality quants, and security features like hash check of model weights. GPTQModel also focuses on faster quantization, improved quant quality as measured by PPL, and backports bug fixes from AutoGPTQ.

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.

Cherry Data Selection project introduces a self-guided methodology for LLMs to autonomously discern and select cherry samples from open-source datasets, minimizing manual curation and cost for instruction tuning. The project focuses on selecting impactful training samples ('cherry data') to enhance LLM instruction tuning by estimating instruction-following difficulty. The method involves phases like 'Learning from Brief Experience', 'Evaluating Based on Experience', and 'Retraining from Self-Guided Experience' to improve LLM performance.

Pwnagotchi is an AI tool leveraging bettercap to learn from WiFi environments and maximize crackable WPA key material. It uses LSTM with MLP feature extractor for A2C agent, learning over epochs to improve performance in various WiFi environments. Units can cooperate using a custom parasite protocol. Visit https://www.pwnagotchi.ai for documentation and community links.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

QServe is a serving system designed for efficient and accurate Large Language Models (LLM) on GPUs with W4A8KV4 quantization. It achieves higher throughput compared to leading industry solutions, allowing users to achieve A100-level throughput on cheaper L40S GPUs. The system introduces the QoQ quantization algorithm with 4-bit weight, 8-bit activation, and 4-bit KV cache, addressing runtime overhead challenges. QServe improves serving throughput for various LLM models by implementing compute-aware weight reordering, register-level parallelism, and fused attention memory-bound techniques.

This repository provides an implementation of QA-MDT, integrating state-of-the-art models for music generation. It offers a Quality-Aware Masked Diffusion Transformer for enhanced music generation. The code is based on various repositories like AudioLDM, PixArt-alpha, MDT, AudioMAE, and Open-Sora. The implementation allows for training and fine-tuning the model with different strategies and datasets. The repository also includes instructions for preparing datasets in LMDB format and provides a script for creating a toy LMDB dataset. The model can be used for music generation tasks, with a focus on quality injection to enhance the musicality of generated music.

Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. For more architecture details, see Milvus Architecture Overview. Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently a graduate project under LF AI & Data Foundation.

Minuet AI is a Neovim plugin that integrates with nvim-cmp to provide AI-powered code completion using multiple AI providers such as OpenAI, Claude, Gemini, Codestral, and Huggingface. It offers customizable configuration options and streaming support for completion delivery. Users can manually invoke completion or use cost-effective models for auto-completion. The plugin requires API keys for supported AI providers and allows customization of system prompts. Minuet AI also supports changing providers, toggling auto-completion, and provides solutions for input delay issues. Integration with lazyvim is possible, and future plans include implementing RAG on the codebase and virtual text UI support.

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

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.

A device which detects the power level of any entity by measuring fluctuations in "Soul Power."

あなたの顔写真を送付するだけで顔面偏差値を出力してくれます。各項目別に点数付けしてくれて、顔の強みや特徴まで分析してくれるツール。

Detects and measures information credibility. Provides a "BS Score" (0-100) based on content analysis for misinformation signs, including factual inaccuracies and sensationalist language. Real-time feedback.

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.

Upload full-body photo. Get height estimation.

Formal and structured interactive IQ test platform.

FREE How to Know What Size Nursing Bra to Get - Guidance on nursing bra sizing with insights into breast size changes during pregnancy, measurement instructions, and advice on choosing the right bra style and size. It interprets bust measurements and answers FAQs about nursing bras.

Analyzes sourdough bread images with scientific precision

Gives experienced advice on influencer-brand dynamics.

Guides in creating effective PLG strategies for products

Define the right marketing metrics for your business

Expert in analyzing coffee grind particle size distribution using image processing and KDE.

Get a detailed risk analysis for public relations, marketing, and internal communications, identifying challenges and negative impacts to refine your messaging strategy.