Best AI tools for< Understand Feedback >

Supascout is an AI-powered tool designed to analyze App Store reviews and provide actionable insights to help developers understand user feedback, prioritize features, and address pain-points. By leveraging AI technology, Supascout helps users gain a competitive edge by making informed decisions based on comprehensive data analysis. The tool scours through the most recent reviews in specific regions to offer valuable insights and recommendations for app improvement.

EmpathixAI is an innovative AI tool designed to analyze and interpret human emotions through text and voice inputs. The tool uses advanced natural language processing and sentiment analysis algorithms to provide accurate insights into the emotional state of individuals. EmpathixAI helps businesses understand customer feedback, improve communication strategies, and enhance user experiences. With its user-friendly interface and powerful analytics capabilities, EmpathixAI is a valuable tool for companies looking to gain a deeper understanding of customer sentiment and emotions.

InStore.ai is an AI-powered tool designed to monitor, compare, and elevate customer experience across stores. It helps businesses improve store performance by providing key performance scores, proactive guidance, and instant search capabilities to summarize in-store interactions and trends. The tool offers solutions for various industries like fuel & convenience, hospitality, and luxury retail, enabling businesses to understand customer feedback, optimize service, and refine customer interactions. InStore.ai leverages AI to enhance face-to-face experiences for customers and employees, providing timely insights, detailed support, and configurable recommendations tailored to specific audiences.

Lexalytics is a leading provider of text analytics and natural language processing (NLP) solutions. Our platform and services help businesses transform complex text data into valuable insights and actionable intelligence. With Lexalytics, you can: * **Analyze customer feedback** to understand what your customers are saying about your products, services, and brand. * **Identify trends and patterns** in text data to make better decisions about your business. * **Automate tasks** such as document classification, entity extraction, and sentiment analysis. * **Develop custom NLP applications** to meet your specific needs.

ListenUp! is an AI-powered discovery tool designed for busy product teams to streamline the process of collecting and analyzing user feedback. The application automatically centralizes user feedback, orders it, and scales the process with AI technology. It helps product teams understand their users better, make informed decisions, and deliver more value efficiently. ListenUp! offers features such as automated feedback capture, real-time pattern suggestions, and transcribing user interviews with multiple speakers. The tool aims to enhance user understanding, improve product development, and boost team performance.

FeedbackApp is a simple yet powerful tool that helps you gather customer feedback from your website or project effortlessly. Target users and understand your customers better to make great data-driven decisions. Stop critical issues quickly. Gather feedback from your users and understand their pain points before they become public-facing criticisms, all while fueling growth and customer satisfaction.

RhetorAI is a feedback collection AI for businesses. It uses ChatGPT to interview customers and provide insights. With RhetorAI, businesses can get real feedback from their users anytime, anywhere. It's like having a 24/7 product researcher on your team.

Voicepanel is an AI-powered platform that helps businesses gather detailed feedback from their customers at unprecedented speed and scale. It uses AI to recruit target audiences, conduct interviews over voice or video, and synthesize actionable insights instantly. Voicepanel's platform is easy to use and can be set up in minutes. It offers a variety of features, including AI interviewing, AI recruiting, and AI synthesis. Voicepanel is a valuable tool for businesses that want to gain a deeper understanding of their customers and make better decisions.

Essense is an AI-powered platform that specializes in transforming qualitative customer feedback and competitor reviews into actionable insights. The platform helps businesses focus their product roadmap on critical customer needs, improve customer adoption and engagement, and understand their market positioning compared to competitors. Essense provides valuable intelligence reports quickly and efficiently, saving businesses time and effort in qualitative research.

Viable is an AI-powered platform that helps businesses analyze and understand their qualitative data. It uses a combination of proprietary AI models and GPT-4 to deliver insights that are accurate, nuanced, and actionable. Viable integrates with popular tools like Zendesk and Intercom, and offers unlimited seats for your entire team.

The website is a platform that provides information about the use of cookies on the site. It explains the different types of cookies used, their purposes, and the providers of these cookies. Users can learn about the necessity of cookies for the website's operation, how to manage cookie preferences, and the importance of user consent for storing cookies. The site aims to enhance user understanding of online privacy and data protection regulations.

Ziggy is an AI-powered platform that automates 1-on-1 conversations, enabling users to conduct feedback interviews seamlessly with anyone, anytime. It helps businesses gather insightful and more natural responses from users than static forms ever could. Ziggy's commitment to collaboration and creativity helps teams work together to get the best results. Its powerful analytical tools help ensure users understand their users' wants and needs. With Ziggy, users can see the original responses from their users and use them to make better decisions.

Rargus is a generative AI tool that specializes in turning customer feedback into actionable insights for businesses. By collecting feedback from various channels and utilizing custom AI analysis, Rargus helps businesses understand customer needs and improve product development. The tool enables users to compile and analyze feedback efficiently, leading to data-driven decision-making and successful product launches. Rargus also offers solutions for consumer insights, product management, and product marketing, helping businesses enhance customer satisfaction and drive growth.

AmpUp.ai is an AI-powered feedback survey tool that helps businesses gain a deeper understanding of their audience. With AmpUp.ai, you can create surveys that ask relevant details and information, and get personalized follow-up questions that relate to what the user is talking about. AmpUp.ai also provides curated answers to surveys designed to understand trends in consumer feedback, personal coaching, and employee experience.

TheySaid is a Conversational AI Survey tool that helps businesses drive customer value and revenue through AI-powered surveys. It offers a unique approach of engaging audiences with one relevant question at a time, turning feedback into an ongoing dialogue. The AI tool scans websites to generate tailored survey questions, automates follow-ups with customers, and provides actionable insights based on industry standards and best practices. TheySaid's AI digs deeper by asking personalized follow-up questions in real-time, enhancing customer engagement and satisfaction.

Re-View is an AI-powered platform that enables users to conduct surveys that capture more than words by utilizing user-friendly video survey forms. The platform allows users to understand emotions, uncover insights, and collect more and better data through authentic emotional connections. With features like automatic insights, efficient research at scale, stunning simplicity, and powerful research capabilities, Re-View offers a practical pricing model that makes research accessible to all. Users can easily create surveys, analyze responses with AI assistance, and gain valuable research reports to support decision-making.

LangWatch is a monitoring and analytics tool for Generative AI (GenAI) solutions. It provides detailed evaluations of the faithfulness and relevancy of GenAI responses, coupled with user feedback insights. LangWatch is designed for both technical and non-technical users to collaborate and comment on improvements. With LangWatch, you can understand your users, detect issues, and improve your GenAI products.

edu720 is a science-backed learning platform that uses AI and nanolearning to redefine how workforces learn and achieve their goals. It provides pre-built learning modules on various topics, including cybersecurity, privacy, and AI ethics. edu720's 360-degree approach ensures that all employees, regardless of their status or location, fully understand and absorb the knowledge conveyed.

Monterey AI is an AI-powered insights platform that helps businesses understand their customers' needs and build better products. It aggregates, triages, and analyzes user feedback, tickets, conversations, surveys, and transcripts to provide businesses with real-time insights into what their customers are saying and what they want. Monterey AI is used by businesses of all sizes, from startups to Fortune 20 companies, to improve their product development process and build better products that meet the needs of their customers.

Syncly is an AI-powered customer feedback analysis tool that helps businesses understand their customers' needs and improve their customer experience. With Syncly, businesses can categorize feedback, identify negative signals, and prioritize issues to resolve. Syncly also integrates with other business tools, making it easy to manage all customer feedback in one place.

Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

AI By Doing is a hands-on artificial intelligence tutorial series that aims to help beginners understand the principles of machine learning and deep learning while providing practical applications. The content covers various supervised and unsupervised learning algorithms, machine learning engineering, deep learning fundamentals, frameworks like TensorFlow and PyTorch, and applications in computer vision and natural language processing. The tutorials are written in Jupyter Notebook format, combining theory, mathematical derivations, and Python code implementations to facilitate learning and understanding.

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.

Sourcery is an automated code reviewer tool that provides instant feedback on pull requests, helping to speed up the code review process, improve code quality, and accelerate development velocity. It offers high-level feedback, line-by-line suggestions, and aims to mimic the type of code review one would expect from a colleague. Sourcery can also be used as an IDE coding assistant to understand existing code, add unit tests, optimize code, and improve code quality with instant suggestions. It is free for public repos/open source projects and offers a 14-day trial for private repos.

Parlant is a structured approach to building and guiding customer-facing AI agents. It allows developers to create and manage robust AI agents, providing specific feedback on agent behavior and helping understand user intentions better. With features like guidelines, glossary, coherence checks, dynamic context, and guided tool use, Parlant offers control over agent responses and behavior. Developer-friendly aspects include instant changes, Git integration, clean architecture, and type safety. It enables confident deployment with scalability, effective debugging, and validation before deployment. Parlant works with major LLM providers and offers client SDKs for Python and TypeScript. The tool facilitates natural customer interactions through asynchronous communication and provides a chat UI for testing new behaviors before deployment.

StoryToolkitAI is a film editing tool that utilizes AI to transcribe, index scenes, search through footage, and create stories. It offers features like full video indexing, automatic transcriptions and translations, compatibility with OpenAI GPT and ollama, story editor for screenplay writing, speaker detection, project file management, and more. It integrates with DaVinci Resolve Studio 18 and offers planned features like automatic topic classification and integration with other AI tools. The tool is developed by Octavian Mot and is actively being updated with new features based on user needs and feedback.

Devika is an advanced AI software engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika utilizes large language models, planning and reasoning algorithms, and web browsing abilities to intelligently develop software. Devika aims to revolutionize the way we build software by providing an AI pair programmer who can take on complex coding tasks with minimal human guidance. Whether you need to create a new feature, fix a bug, or develop an entire project from scratch, Devika is here to assist you.

An integration for Home Assistant that leverages AI models to understand your unique home environment and propose intelligent automations. By analyzing your entities, devices, areas, and existing automations, the AI Automation Suggester helps you discover new, context-aware use cases you might not have considered, ultimately streamlining your home management and improving efficiency, comfort, and convenience. The tool acts as a personal automation consultant, providing actionable YAML-based automations that can save energy, improve security, enhance comfort, and reduce manual intervention. It turns the complexity of a large Home Assistant environment into actionable insights and tangible benefits.

The UvA Deep Learning Tutorials repository contains a series of Jupyter notebooks designed to help understand theoretical concepts from lectures by providing corresponding implementations. The notebooks cover topics such as optimization techniques, transformers, graph neural networks, and more. They aim to teach details of the PyTorch framework, including PyTorch Lightning, with alternative translations to JAX+Flax. The tutorials are integrated as official tutorials of PyTorch Lightning and are relevant for graded assignments and exams.

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.

Agenta is an open-source LLM developer platform for prompt engineering, evaluation, human feedback, and deployment of complex LLM applications. It provides tools for prompt engineering and management, evaluation, human annotation, and deployment, all without imposing any restrictions on your choice of framework, library, or model. Agenta allows developers and product teams to collaborate in building production-grade LLM-powered applications in less time.

This repository provides a comprehensive survey of research papers on large language model (LLM)-based game agents. LLMs are powerful AI models that can understand and generate human language, and they have shown great promise for developing intelligent game agents. This survey covers a wide range of topics, including adventure games, crafting and exploration games, simulation games, competition games, cooperation games, communication games, and action games. For each topic, the survey provides an overview of the state-of-the-art research, as well as a discussion of the challenges and opportunities for future work.

LiveKit Agents for Node.js is a framework designed for building realtime, programmable voice agents that can see, hear, and understand. It includes support for OpenAI Realtime API, allowing for ultra-low latency WebRTC transport between GPT-4o and users' devices. The framework provides concepts like Agents, Workers, and Plugins to create complex tasks. It offers a CLI interface for running agents and a versatile web frontend called 'playground' for building and testing agents. The framework is suitable for developers looking to create conversational voice agents with advanced capabilities.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Clippinator is a code assistant tool that helps users develop code autonomously by planning, writing, debugging, and testing projects. It consists of agents based on GPT-4 that work together to assist the user in coding tasks. The main agent, Taskmaster, delegates tasks to specialized subagents like Architect, Writer, Frontender, Editor, QA, and Devops. The tool provides project architecture, tools for file and terminal operations, browser automation with Selenium, linting capabilities, CI integration, and memory management. Users can interact with the tool to provide feedback and guide the coding process, making it a powerful tool when combined with human intervention.

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.

llm-analysis is a tool designed for Latency and Memory Analysis of Transformer Models for Training and Inference. It automates the calculation of training or inference latency and memory usage for Large Language Models (LLMs) or Transformers based on specified model, GPU, data type, and parallelism configurations. The tool helps users to experiment with different setups theoretically, understand system performance, and optimize training/inference scenarios. It supports various parallelism schemes, communication methods, activation recomputation options, data types, and fine-tuning strategies. Users can integrate llm-analysis in their code using the `LLMAnalysis` class or use the provided entry point functions for command line interface. The tool provides lower-bound estimations of memory usage and latency, and aims to assist in achieving feasible and optimal setups for training or inference.

Generative AI with LangChain is a code repository for building large language model (LLM) apps with Python, ChatGPT, and other LLMs. The repository provides code examples, instructions, and configurations for creating generative AI applications using the LangChain framework. It covers topics such as setting up the development environment, installing dependencies with Conda or Pip, using Docker for environment setup, and setting API keys securely. The repository also emphasizes stability, code updates, and user engagement through issue reporting and feedback. It aims to empower users to leverage generative AI technologies for tasks like building chatbots, question-answering systems, software development aids, and data analysis applications.

LangGraph Studio is a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications. It offers visual graphs and state editing to better understand agent workflows and iterate faster. Users can collaborate with teammates using LangSmith to debug failure modes. The tool integrates with LangSmith and requires Docker installed. Users can create and edit threads, configure graph runs, add interrupts, and support human-in-the-loop workflows. LangGraph Studio allows interactive modification of project config and graph code, with live sync to the interactive graph for easier iteration on long-running agents.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

Provides feedback prioritizing content by "Right to Struggle" by Melkonian and "My Brother's Struggle"

Crafts 'Mom Test' questions for unbiased product feedback

Emotion training assistant with image generation and feedback.

Fun 11+ exam tutor with interactive feedback and a scoring monster.

🌈心理督导服务。此助手经过了特定设计优化。 👉专门为心理咨询师提供专业的督导和反馈，帮助您更深入地理解患者的需求，优化咨询技巧。⚠️注意！已关闭数据分享，所有数据均不保存

Free, beautiful, and AI-generated product surveys

A place to finally find out if you were wrong in an argument that's been bothering you

Experto en APA 7 y revisión académica en inglés y español.

I explain complex topics in simple, fun ways, like you're 5!

Helps understand North Andover's wetland regulations

Understand consent requirements and use of the easyConsent app.

This GPT helps you understand and apply the MITRE ATT&CK Framework, whether you are familiar with the concepts or not.

Understand the correct credit card to use to maximize your reward points.

Helps you understand those confusing ass old dudes and dudettes

A GPT that explains research methods in a language that everyone can easily understand.

Our aim is to understand your unique needs intimately, providing customized commendations that sincerely convey your appreciation and recognition. Moreover, we will design and match the most suitable images to accompany the sentiment of your praise, enhancing the impact visually.

An easy to understand wizard that guides you through questions about how to protect, back up and inherit essential digital information and assets such as crypto seed phrases, private keys, digital art, wallets, IDs, health and insurance information for you and your family.

i help u understand the lingo & the latest memes.

Guide to create and understand GPTs, with latest insights and practical tips.

Easy-to-understand guidance for non-profits in crafting impactful press releases.