Best AI tools for< Analyze Participants >

RealEye is an online research platform that uses webcam eye-tracking to collect data on user behavior. It allows researchers to conduct studies on attention, emotions, and mouse/key tracking. RealEye is easy to use and does not require any special equipment or software. It is a valuable tool for researchers who want to gain insights into how users interact with websites and other online content.

Synthetic Users is an AI-powered platform that revolutionizes user research by providing human-like AI participants for user and market research. It leverages advanced AI architecture to create accurate synthetic interviews and surveys, enabling users to run quantitative research at scale in minutes. The platform offers a multi-agent framework for dynamic interactions, continuous learning, and adaptation to mimic real human behaviors, providing valuable insights for various applications.

Marvin is an AI research software that serves as the perfect AI research assistant for qualitative research. It automates tedious parts of qualitative research, allowing users to analyze hours of research in minutes. Marvin helps in centralizing, searching, and sharing user research data, making it easily accessible for the whole team. With AI-powered enhancements, Marvin assists in consolidating user insights, finding patterns, and backing decisions with evidence. The tool streamlines the research journey by managing user interview panels, recruiting participants effectively, and providing features like automatic transcripts, video clips, and privacy filters for compliance. Marvin offers different pricing plans suitable for small teams, startups, companies with multiple teams, and large organizations.

AILYZE is an AI tool designed for qualitative data collection and analysis. Users can upload various document formats in any language to generate codes, conduct thematic, frequency, content, and cross-group analysis, extract top quotes, and more. The tool also allows users to create surveys, utilize an AI voice interviewer, and recruit participants globally. AILYZE offers different plans with varying features and data security measures, including options for advanced analysis and AI interviewer add-ons. Additionally, users can tap into data scientists for detailed and customized analyses on a wide range of documents.

ResearchGoat is a generative AI-powered research platform that enables clients to conduct in-depth qualitative research and interviews with unprecedented speed and genuine insights. The platform offers shockingly lower costs compared to traditional consumer research, AI moderators that can converse in any language, and the ability to recruit participants and conduct interviews efficiently. ResearchGoat empowers users to focus on understanding their customers by providing comprehensive insights and analysis from real people.

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.

Outset is an AI-powered research platform that enables users to conduct and synthesize video, audio, and text conversations with hundreds of participants at once. It uses AI to moderate conversations, identify common themes, tag relevant conversations, and pull out powerful quotes. Outset is designed to help researchers understand the 'why' behind answers and gain deeper insights into the people they serve.

Yasna by Fastuna is an AI assistant designed for conducting interviews with people, regardless of the scale. It enables users to collect facts, opinions, and ideas from any audience without direct communication. Yasna is trained to act as a professional interviewer, providing detailed responses beyond traditional surveys. The platform supports multiple languages, adapts to various styles, and offers effortless analytics for interview analysis. It creates a safe and engaging environment for participants to express themselves freely.

MagicLoop is a voice survey tool designed to enhance customer feedback by replacing written feedback with spoken responses. It allows users to gather higher-quality responses through voice surveys, capturing emotions, tones, and nuances for a deeper understanding of participants' feelings and intentions. The tool aims to improve participant engagement and provide detailed insights by encouraging genuine responses. MagicLoop offers a modern approach to surveys, addressing the limitations of traditional methods and providing tailored solutions for various use cases such as user research, satisfaction surveys, NPS, feedback collection, market research, and data monitoring. With features like AI analysis, speech-to-text transcription, and custom branding, MagicLoop streamlines the process of generating insights from voice recordings.

Be10X is an ed-tech platform that provides online workshops and courses on AI tools, Microsoft Office, and Power BI. Their workshops are designed to help working professionals upskill, boost productivity, and achieve their career goals. Be10X offers a variety of workshops, including an AI Tools Workshop, an Office Hacks using AI Workshop, and a PowerBI Workshop. These workshops are led by IIT Kharagpur Alumni and provide participants with hands-on experience with AI tools and techniques.

WienerAI is an innovative AI tool that offers daily staking rewards through the concept of a Wiener Dog. Users can join the presale to participate in this unique opportunity. The platform leverages artificial intelligence to provide staking rewards on a daily basis, creating an engaging and rewarding experience for participants. WienerAI combines the charm of Wiener Dogs with the benefits of AI technology, making it a one-of-a-kind platform in the cryptocurrency space.

Hubble is an all-in-one user research software that provides tools for continuous discovery. It offers a wide range of features such as in-product research, contextual surveys, user targeting, prototype tests, usability tests, and more. Hubble empowers product teams to collect valuable insights from users to build better products. The platform also includes resources like guides, templates, demo videos, and customer stories to help users maximize the benefits of user research.

FOXSY.AI is an AI application that combines robotics and AI to create fully autonomous humanoid robot soccer players. The project aims to achieve the RoboCup final goal of having a team of robots win a soccer game against the winner of the most recent World Cup. The $FOXSY token powers the implementation of robotics and AI research, enabling users to engage with the RoboCup mechanics for entertainment value. The application offers various tools and features for users to participate in online tournaments, customize players, and analyze game strategies.

Open Data Science (ODS) is a community website offering a platform for data science enthusiasts to engage in tracks, competitions, hacks, tasks, events, and projects. The website serves as a hub for job opportunities and provides a space for privacy policy, service agreements, and public offers. ODS.AI, established in 2015, focuses on various data science topics such as machine learning, computer vision, natural language processing, and more. The platform hosts online and offline events, conferences, and educational courses to foster learning and networking within the data science community.

The Vector Institute for Artificial Intelligence is an independent, not-for-profit corporation dedicated to AI research. They work across sectors to advance AI application, adoption, and commercialization across Canada. Vector researchers are pushing the boundaries of machine learning and deep learning with applications ranging from privacy to security to healthcare. The institute offers a suite of programs, courses, and projects to help students, businesses, and working professionals from industry sponsors or small businesses. They collaborate with universities, health organizations, governments, and businesses to connect leading AI research with its application across Canada and the world.

The Edge AI and Vision Alliance is a platform that provides practical technical insights and expert advice for developers building AI or vision-enabled products. It offers information on the latest vision, AI, and deep learning technologies, standards, market research, and applications. The Alliance aims to help users incorporate visual and artificial intelligence into their products effectively and efficiently.

MonkeeMath is an AI tool designed to scrape comments from Reddit and Stocktwits that mention stock tickers. It utilizes ChatGPT to analyze the sentiment of these comments, determining whether they are bullish or bearish on the outlook of the mentioned stocks. The data collected is then used to generate charts and tables displayed on the website. Users can create an account to view predictions and participate in a prediction mini-game to earn a spot on the MonkeeMath user leaderboard.

Morphlin is an AI-powered trading platform that empowers traders with smart tools and insights to make informed decisions. The platform offers a powerful AI MorphlinGPT API Key Pair for smart trading on Binance. Users can access real-time information, investment analysis, and professional research reports from third-party experts. Morphlin integrates data from mainstream markets and exchanges, providing clear information through a dynamic dashboard. The platform's core values include offering a good environment for researchers to share opinions and a referral program that shares 10% of Morphlin fees with community KOLs. With Morphlin, traders can trade wisely and efficiently, backed by AI technology and comprehensive market data.

Bay Area AI is a technical AI meetup group based in San Francisco, CA, consisting of startup engineers, research scientists, computational linguists, mathematicians, and philosophers. The group focuses on understanding the meaning of text, reasoning, and human intent through technology to build new businesses and enhance the human experience in the modern connected world. They work on building systems with Machine Learning on top of Data Pipelines, exploring open-source solutions, and modeling human behavior in industry for practical results.

Emotion Edge is an AI application designed to master the emotional dynamics of the classroom. By analyzing student emotions in real-time through facial expressions, voice tone, and body language, educators can enhance classroom engagement, ensure active participation, and enrich the overall classroom experience. The application prioritizes data security and privacy, complying with relevant regulations to keep student information secure and confidential.

The AI Bootcamp is a comprehensive training program focusing on real-world applications to equip individuals with the skills and knowledge needed to excel as AI engineers. The bootcamp covers topics such as Real-World PyTorch, Machine Learning Projects, Fine-tuning Tiny LLM, Deployment of LLM to Production, AI Agents with GPT-4 Turbo, CrewAI, Llama 3, and more. Participants will learn foundational skills in Python for AI, ML Pipelines, Large Language Models (LLMs), AI Agents, and work on projects like RagBase for private document chat.

High Performance LLMs 2024 is a comprehensive course focused on building a high-performance Large Language Model (LLM) from scratch using Jax. The course covers various aspects such as training, inference, roofline analysis, compilation, sharding, profiling, and optimization techniques. Participants will gain a deep understanding of Jax and learn how to design high-performance computing systems that operate close to their physical limits.

Dioptra is a software test platform for assessing the trustworthy characteristics of artificial intelligence (AI). It supports the NIST AI Risk Management Framework by providing functionality to assess, analyze, and track identified AI risks. Dioptra provides a REST API and can be controlled via a web interface or Python client for designing, managing, executing, and tracking experiments. It aims to be reproducible, traceable, extensible, interoperable, modular, secure, interactive, shareable, and reusable.

Stellar Chat is a multi-modal chat application that enables users to create custom agents and integrate with local language models and OpenAI models. It provides capabilities for generating images, visual recognition, text-to-speech, and speech-to-text functionalities. Users can engage in multimodal conversations, create custom agents, search messages and conversations, and integrate with various applications for enhanced productivity. The project is part of the '100 Commits' competition, challenging participants to make meaningful commits daily for 100 consecutive days.

Julep is an advanced platform for creating stateful and functional AI apps powered by large language models. It offers features like statefulness by design, automatic function calling, production-ready deployment, cron-like asynchronous functions, 90+ built-in tools, and the ability to switch between different LLMs easily. Users can build AI applications without the need to write code for embedding, saving, and retrieving conversation history, and can connect to third-party applications using Composio. Julep simplifies the process of getting started with AI apps, whether they are conversational, functional, or agentic.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

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.

Neuromatch Academy NeuroAI Course Syllabus is a repository that contains the schedule and licensing information for the NeuroAI course. The course is designed to provide participants with a comprehensive understanding of artificial intelligence in neuroscience. It covers various topics related to AI applications in neuroscience, including machine learning, data analysis, and computational modeling. The content is primarily accessed from the ebook provided in the repository, and the course is scheduled for July 15-26, 2024. The repository is shared under a Creative Commons Attribution 4.0 International License and software elements are additionally licensed under the BSD (3-Clause) License. Contributors to the project are acknowledged and welcomed to contribute further.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

This repository contains the Python source code for FINMEM, a Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design. It introduces FinMem, a novel LLM-based agent framework devised for financial decision-making, encompassing three core modules: Profiling, Memory with layered processing, and Decision-making. FinMem's memory module aligns closely with the cognitive structure of human traders, offering robust interpretability and real-time tuning. The framework enables the agent to self-evolve its professional knowledge, react agilely to new investment cues, and continuously refine trading decisions in the volatile financial environment. It presents a cutting-edge LLM agent framework for automated trading, boosting cumulative investment returns.

Greenplum Database (GPDB) is an advanced, fully featured, open source data warehouse, based on PostgreSQL. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes.

This is the official repository for the ACM CCS 2024 paper 'Do Anything Now': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. The project employs a new framework called JailbreakHub to conduct the first measurement study on jailbreak prompts in the wild, collecting 15,140 prompts from December 2022 to December 2023, including 1,405 jailbreak prompts. The dataset serves as the largest collection of in-the-wild jailbreak prompts. The repository contains examples of harmful language and is intended for research purposes only.

Beelzebub is an advanced honeypot framework designed to provide a highly secure environment for detecting and analyzing cyber attacks. It offers a low code approach for easy implementation and utilizes virtualization techniques powered by OpenAI Generative Pre-trained Transformer. Key features include OpenAI Generative Pre-trained Transformer acting as Linux virtualization, SSH Honeypot, HTTP Honeypot, TCP Honeypot, Prometheus openmetrics integration, Docker integration, RabbitMQ integration, and kubernetes support. Beelzebub allows easy configuration for different services and ports, enabling users to create custom honeypot scenarios. The roadmap includes developing Beelzebub into a robust PaaS platform. The project welcomes contributions and encourages adherence to the Code of Conduct for a supportive and respectful community.

ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference. It aims to offer simple, high-performance ML inference and a good developer experience. Users can provide inference APIs for ONNX models without writing additional code by placing the models in the directory structure. Each session can choose between CPU or CUDA, analyze input/output, and provide Swagger API documentation for easy testing. Ready-to-run Docker images are available, making it convenient to deploy the server.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This repository extends the LLVM framework to generate code for use with AMD/Xilinx AI Engine processors. AI Engine processors are in-order, exposed-pipeline VLIW processors focused on application acceleration for AI, Machine Learning, and DSP applications. The repository adds LLVM support for specific features like non-power of 2 pointers, operand latencies, resource conflicts, negative operand latencies, slot assignment, relocations, code alignment restrictions, and register allocation. It includes support for Clang, LLD, binutils, Compiler-RT, and LLVM-LIBC.

Analyzes participants from page 1 of Zoom .pdfs

พัฒนากระบวนการคิดทางสังคมศาสตร์ที่ลึกขึ้นไปอีกขั้นด้วยบทสนทนา และคำถาม

This GPT is a researcher that has deep understanding about the area of PUBLIC PARTICIPATION and related topics such as sociology and, human geography and politology.

I analyze cognitive biases in scenarios and thoughts, providing neutral, educational insights.

Analyze and reverse engineer images. Receive style descriptions and image re-creation prompts.

I'll help you analyze market news and charts for trading/investing

I read and analyze annual reports of companies. Just upload the annual report PDF and start asking me questions!

As a Good Design Advisor, I provide consultation and advice on design topics and analyze designs that are provided through documents or links. I can also generate visual representations myself to illustrate design concepts.

I analyze historical events, offering insights from multiple perspectives.

For strategic knowledge distillation, upload the document you need to analyze and use !start. ENSURE the uploaded file shows DOCUMENT and NOT PDF. This workflow requires leveraging RAG to operate. Only a small amount of PDFs are supported, convert to txt or doc. For timeout, refresh & !continue

Critically analyze SLIs/SLOs with a deeper, provocative approach

Analyze any uploaded art piece, providing thoughtful insight on the history of the piece and its maker. Replicate art pieces in new styles generated by the user. Be an overall expert in art and help users navigate the art scene. Inform them of different types of art

I analyze situations using game theory to advise on the best strategic approach.

I analyze website screenshots for UI/UX improvements.

A tool for historians to analyze and catalog historical images and documents.

Hone your phishing detection skills! Analyze emails, texts, and calls to spot deception. Become a security pro!

I analyze audition sides to help actors prepare for in-person and self-taped auditions for TV and Film

I analyze food images for FODMAP content using updated guidelines.

A Next.js expert ready to analyze code, answer questions, and offer learning plans.

Inception expert ready to discuss and analyze the film's complexities.