Best AI tools for< Facilitate Feedback Collection >

Paymefy is an AI-powered debt collection optimization tool that helps businesses recover outstanding payments faster and at a lower cost. By leveraging Artificial Intelligence, Paymefy automates the debt collection process, streamlines payment procedures, and enhances customer communication. The platform offers features such as on-click payment solutions, smart notification sequences, customization options, and feedback collection mechanisms. With Paymefy, businesses can improve their debt recovery rates, reduce operational costs, and facilitate seamless payment experiences for customers.

Chat EQ is an AI-powered application designed to help individuals develop conflict resolution skills for handling personal and professional conflicts. The app draws upon decades of research to provide users with research-based feedback and guidance to navigate difficult conversations effectively. By leveraging artificial intelligence, Chat EQ offers insights into users' emotional states, suggests conversation strategies, and aims to facilitate mutually beneficial outcomes while avoiding common pitfalls that can escalate conflicts.

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 using gestures, make intelligent decisions, and generate valuable statistical reports using artificial intelligence. Gestualy complies with GDPR regulations and offers features such as touchless interaction, immediate feedback, anonymized reports, and facial recognition. It is a versatile tool that works on any device with a webcam and internet connection, providing real-time insights for businesses.

House of Pitch is an AI-powered platform designed to streamline the pitching process for individuals looking to share news, services, or ideas with journalists and investors. The platform allows users to create short pitches quickly, target specific recipients from a curated list, and receive prompt feedback in the form of a Yes or No answer. With an average acceptance rate above 30%, House of Pitch aims to facilitate meaningful connections between pitchers and recipients while ensuring compliance with personal data regulations.

Trustpilot productai.one is an AI tool designed to provide product reviews and ratings. It utilizes artificial intelligence algorithms to analyze and aggregate customer feedback, helping users make informed purchasing decisions. The platform offers a user-friendly interface where consumers can explore and compare various products based on real customer experiences. With Trustpilot productai.one, users can access valuable insights and recommendations to guide their shopping choices.

Ghola is a platform that offers personalized AI chatbots to facilitate introspection and personal development. Users can create multiple chat bots with different personalities, share them with others, and engage in group conversations. The tool aims to help individuals become more self-aware and insightful by providing a secure space to explore thoughts and feelings. With customizable parameters, profile sharing, conversation showcase, backend API, and more, Ghola empowers users to make positive changes and realize their full potential through AI-powered discussions.

Poised is an AI-powered communication coach that provides real-time feedback to help users improve their speaking skills during calls and presentations. It offers personalized suggestions and actionable insights to track progress and enhance communication abilities. Poised is designed to be non-distracting and immediately actionable, ensuring users stay clear and focused with live speaker notes. The tool also generates auto-generated summaries and action items from meetings, making follow-ups easier. With Poised, users can receive immediate feedback on their communication and track progress over time, all while maintaining privacy and confidentiality.

Humy.ai is an AI-powered educational tool that provides personalized tutoring, assignments, and study materials for history and social studies classes. It leverages AI to create engaging and interactive learning experiences for students, allowing them to have life-like conversations with historical figures, receive tailored feedback on assignments, and access a vast library of educational resources.

Trill is an AI-powered research assistant designed to streamline the user research process. It helps users move from interviews to insights quickly by providing relevant insights and observations based on project objectives. With features like instant themes and categories, organizing findings, and a user-friendly editor, Trill aims to simplify and accelerate the research analysis process. Currently in beta, Trill offers a free trial for users to experience its capabilities and provide feedback for further improvements.

UserCall is an AI-powered platform that enables users to conduct high-quality user interviews using custom AI interviewers. The platform offers deep insights through 1:1 voice calls with users, providing smart follow-up questions to uncover customer needs. UserCall saves time and effort by extracting key actionable insights from conversations, offering branded interview links, and facilitating continuous feedback, market research, participant screening, usability testing, and customer satisfaction analysis.

Moonbeam is an AI writing assistant designed to help users create various types of content such as essays, articles, stories, and blogs. It offers a range of templates and features to streamline the writing process, including a text expander and a custom style generator. Moonbeam stands out for its ability to generate content clusters, provide real-time feedback through Smart Chat, and facilitate team collaboration. Users can also benefit from its powerful text editor and seamless integration with GPT-4 technology for enhanced content creation.

PromptLeo is a prompt engineering platform designed to empower organizations in effectively applying Generative AI. It offers a simple interface for prompt engineers to create, test, and change prompts, integrating Generative AI into daily workflows without the need to store prompts in text files. With features like prompt templates, feedback loop & iterations, access to multiple models, and a dedicated prompt engineering library, PromptLeo aims to streamline prompt management and versioning, enhance prompt performance tracking, and facilitate collaboration among team members.

Multytude is an AI-driven influencer-led prompted listening tool designed for brands and agencies. It combines the scale and speed of social listening with the prompting ability of surveys and focus groups. The platform enables brands to uncover qualitative consumer insights in a short time, facilitated by influencers and analyzed by AI. Multytude aims to revolutionize traditional social listening methods by proactively harnessing strategic insights through prompted listening.

UpT Golf is a cutting-edge application designed for golfers, athletes, and coaches to enhance their skills and performance. Powered by Computer Vision and Artificial Intelligence, the app offers in-depth swing analysis, progress tracking, personalized recommendations, and real-time feedback. It provides a user-friendly interface for golfers to monitor their progress and for coaches to analyze and guide their students effectively. UpT Golf also facilitates communication among players and coaches, creating a supportive community for sharing experiences and tips. With innovative features and advanced tools, UpT Golf revolutionizes golf training by making it more efficient, enjoyable, and accessible to users worldwide.

Vervoe is an AI-powered recruitment platform and hiring solution that revolutionizes the hiring process by offering skills-based screening through AI job simulations and assessments. It streamlines interviews, provides standardized templates, and facilitates team collaboration. Vervoe enables data-backed decisions by ranking applicants based on performance and offering detailed reports. The platform focuses on task-based evaluations of job-specific skills, enhancing the accuracy of hiring decisions. Employers can create customized tests or choose from a library of scientifically mapped assessments. Vervoe uses AI for recruiting, grading, and ranking candidates efficiently. The platform enhances employer branding, offers candidate feedback, and ensures a seamless candidate experience. Vervoe caters to various industries and company types, making it a versatile tool for modern recruitment processes.

Discovery Outcomes is an AI-powered Product Operating System designed to streamline and enhance the product management process. It integrates tools, facilitates collaboration, and leverages AI for efficient workflows. The platform offers powerful outcomes by transforming product management into a game of success, optimizing workflows for rapid innovation, enabling data-driven decision-making, and fostering effective communication and collaboration among teams. With features like automated PRD generation, feedback analysis, and actionable insights, Discovery Outcomes aims to improve time-to-market, productivity, innovation rate, quality of deliverables, adaptability, flexibility, cross-functional collaboration, and return on investment.

Edmin is an AI-driven education administration software that streamlines and modernizes administrative tasks in educational institutions. It offers a comprehensive Student Information System (SIS), compliance features, data security, and customizable modules to meet the specific needs of colleges. Edmin enhances operational efficiency by automating routine tasks, improving data consistency, and enhancing the student and faculty experience through self-service portals and real-time notifications. The platform also facilitates efficient academic planning, communication through surveys and feedback forms, and offers scalability for colleges of all sizes.

Workshop Studio is an AI-powered tool that helps you create and manage your workshops. With Workshop Studio, you can easily create beautiful, engaging workshops that are sure to impress your audience. Our intuitive drag-and-drop interface makes it easy to add content, images, and videos to your workshops. You can also use our built-in templates to get started quickly.

TakeNote is a cutting-edge speech-to-text AI that transforms audio and video into documents, boosting productivity and enhancing meeting experiences. Its advanced AI models provide exceptional accuracy, approaching human-level robustness and accuracy in English speech recognition. TakeNote AI empowers teams to transcribe meetings into accurate transcripts, generate precise summaries, analyze sentiment, and identify speakers, all while ensuring high levels of security and data protection.

KocharTech is an AI-backed technology solutions provider that offers knowledge management, IoT, and BPM solutions for various industries. The company focuses on accelerating value delivery through innovation and technology for over 15 years. They provide virtual contact center services, help start-ups outsource CX initiatives, make warehouses future-ready, and support revenue growth during market volatility in the telecom sector. KocharTech leverages human intelligence and technology to build digital solutions that empower businesses to stay ahead of the competition. Their offerings include business process management, IoT software solutions, content & cataloging, e-surveillance, and more.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

The `mystic` framework provides a collection of optimization algorithms and tools that allow the user to robustly solve hard optimization problems. It offers fine-grained power to monitor and steer optimizations during the fit processes. Optimizers can advance one iteration or run to completion, with customizable stop conditions. `mystic` optimizers share a common interface for easy swapping without writing new code. The framework supports parameter constraints, including soft and hard constraints, and provides tools for scientific machine learning, uncertainty quantification, adaptive sampling, nonlinear interpolation, and artificial intelligence. `mystic` is actively developed and welcomes user feedback and contributions.

This repository is dedicated to enhancing Language Model (LLM) reasoning with reinforcement learning (RL). It includes a collection of the latest papers, slides, and materials related to RL-based LLM reasoning, aiming to facilitate quick learning and understanding in this field. Starring this repository allows users to stay updated and engaged with the forefront of RL-based LLM reasoning.

LLM4EC is an interdisciplinary research repository focusing on the intersection of Large Language Models (LLM) and Evolutionary Computation (EC). It provides a comprehensive collection of papers and resources exploring various applications, enhancements, and synergies between LLM and EC. The repository covers topics such as LLM-assisted optimization, EA-based LLM architecture search, and applications in code generation, software engineering, neural architecture search, and other generative tasks. The goal is to facilitate research and development in leveraging LLM and EC for innovative solutions in diverse domains.

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.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

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.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

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

Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

Prompt Engineering Techniques is a comprehensive repository for learning, building, and sharing prompt engineering techniques, from basic concepts to advanced strategies for leveraging large language models. It provides step-by-step tutorials, practical implementations, and a platform for showcasing innovative prompt engineering techniques. The repository covers fundamental concepts, core techniques, advanced strategies, optimization and refinement, specialized applications, and advanced applications in prompt engineering.

Facilitates effective communication and feedback between project stakeholders.

你是一共拥有最前沿的知识储备，丰富的教学经验，优秀的课程设计能力的优秀教育工作者。

Dette er Modul 8 Flipped Classroom i IKTPEDMOOC ved HiØ

Facilitates customer satisfaction through effective feedback management.

영어 대화, 영어 회화, 영어 학습을 효과적으로 진행할 수 있습니다. 대화를 통해 영어 실력을 단계별로 향상시킬 수 있습니다. ChatGPT 앱의 보이스 기능을 활용하여 발음 연습도 가능하며, 실시간 피드백을 통해 학습 효율을 극대화할 수 있습니다. 영어 학습자의 능력에 맞춰 학습 난이도를 조정하며, 다양한 주제에 대한 대화를 통해 영어 실력을 자연스럽게 향상시킬 수 있습니다.

Facilitate reflective self-exploration of 2023

Facilitate amicable solutions and mutual understanding in landlord-tenant relations with expert AI mediation. Navigate your rights and responsibilities with ease. 🤝🏠

GPT-Mediator is an AI chatbot designed to facilitate dispute resolution. It employs empathy, neutrality, and respect, offering tailored suggestions for conflict resolution, all while ensuring unbiased mediation.

👉AI绘画，无视版权，精准创作提示词。👈1.可描述画面2.可给出midjourney的绘画提示词3.为每幅画作指定专属 ID，便于精调4.可以画绘制皮克斯拟人可爱动物。1. Can describe the picture . 2. Can give the prompt words for midjourney's painting . 3. Assign a unique ID to each painting to facilitate fine-tuning

Facilitates learning foreign words with visual mnemonics

I'm your daily stand-up expert, ready once a day!

Bridging leadership insights from the 1960s to 2020s, from Boomers to Gen Z.

Your book club facilitator.

Ask me anything about facilitaton and workshop design

I find consensus in discussions.

An assistant for crafting effective agile retrospectives and workshops.

Guides organizational effectiveness via team-focused strategies and learning.

A coach to assist community visioning processes.

Explore my book 'Gardeners not Mechanics: How to Cultivate Change at Work"'

My goal is to come up with the most fair peaceful solution.