AI tools for synthetic user research
Related Tools:
Synthetic Users
Synthetic Users is an AI-powered user research tool that allows users to conduct user and market research without the need for recruitment. It leverages advanced AI architecture to create human-like AI participants for interviews and surveys. The tool enables users to enrich their Synthetic Users with proprietary data, conduct in-depth interviews, and run quantitative research at scale. Synthetic Users offers a multi-agent architecture that simulates real human interactions, providing valuable insights for various applications.
Nuanced
Nuanced is an AI tool that detects AI-generated images to protect the integrity and authenticity of online services. It helps platforms combat fraud, deepfakes, and inauthentic content by distinguishing between genuine human-authored artifacts and AI-generated content. Nuanced's algorithms stay ahead of the accelerating changes in AI content generation, providing a privacy-first solution that is simple to adopt and integrate. With Nuanced, businesses can focus on their core operations while ensuring the authenticity of their content.
MOSTLY AI Platform
The website offers a Synthetic Data Generation platform with the highest accuracy for free. It provides detailed information on synthetic data, data anonymization, and features a Python Client for data generation. The platform ensures privacy and security, allowing users to create fully anonymous synthetic data from original data. It supports various AI/ML use cases, self-service analytics, testing & QA, and data sharing. The platform is designed for Enterprise organizations, offering scalability, privacy by design, and the world's most accurate synthetic data.
Hume AI - Octave
Hume AI is an AI application that offers the Octave language model for text-to-speech (TTS) capabilities. It provides a voice-based LLM that understands words in context to predict emotions, cadence, and more. Users can create various AI voices with specific prompts and scripts, adjusting emotional delivery and speaking styles on command. The application aims to generate expressive AI voices for podcasts, voiceovers, audiobooks, and more, with total control over the voice output.
TAID
TAID is a cutting-edge AI tool that specializes in analyzing text to determine whether it was created by a human or generated by artificial intelligence models like ChatGPT. It helps users combat misinformation, ensure transparency, and maintain trust in online communication by verifying the authenticity of the text they encounter. TAID utilizes advanced machine learning algorithms to achieve impressive accuracy in detecting AI-generated content, offering a free detection service with unlimited usage and no hidden fees or subscriptions.
ZeroGPT
ZeroGPT is a comprehensive AI detection tool that helps users identify AI-generated content. It offers a range of features, including sentence highlighting, batch file upload, high accuracy, and support for multiple languages. ZeroGPT's DeepAnalyse™ Technology employs a multi-stage methodology to analyze text and determine its origin. The tool is designed to minimize false positives and negatives, providing users with reliable results. ZeroGPT also offers a user-friendly API for organizations, enabling them to integrate the tool into their systems.
AI or Not
AI or Not is an AI-powered tool that helps businesses and individuals detect AI-generated images and audio. It uses advanced machine learning algorithms to analyze content and determine the likelihood of AI manipulation. With AI or Not, users can protect themselves from fraud, misinformation, and other malicious activities involving AI-generated content.
Arro
Arro is an AI-powered research assistant that helps product teams collect customer insights at scale. It uses automated conversations to conduct user interviews with thousands of customers simultaneously, generating product opportunities that can be directly integrated into the product roadmap. Arro's innovative AI-led methodology combines the depth of user interviews with the speed and scale of surveys, enabling product teams to gain a comprehensive understanding of their customers' needs and preferences.
Notably
Notably is a research synthesis platform that uses AI to help researchers analyze and interpret data faster. It offers a variety of features, including a research repository, AI research, digital sticky notes, video transcription, and cluster analysis. Notably is used by companies and organizations of all sizes to conduct product research, market research, academic research, and more.
Umbrellabird
Umbrellabird is an AI-powered tool that automates the analysis and synthesis of user interview recordings. It helps product teams transform user interviews into actionable insights for faster decision-making. With features like automated document generation, intelligent key insights extraction, custom document generation, and enhanced workflow experience, Umbrellabird streamlines the process of generating valuable insights from user interviews. It ensures security and privacy of user data through encryption and offers best-in-class transcription services. Users can collaborate with their team members, share insights, and export documents easily. Umbrellabird is designed for product managers at software companies or UX researchers involved in summarizing user/customer interviews.
Audiobox
Audiobox is an AI tool developed by Meta for audio generation. It allows users to create custom audio content by generating voices and sound effects using voice inputs and natural language text prompts. The tool includes various models such as Audiobox Speech and Audiobox Sound, all built upon the shared self-supervised model Audiobox SSL. Audiobox aims to make AI safe and accessible for everyone by providing a platform for creative audio storytelling and research in the field of audio generation.
ChatTTS
ChatTTS is a text-to-speech tool optimized for natural, conversational scenarios. It supports both Chinese and English languages, trained on approximately 100,000 hours of data. With features like multi-language support, large data training, dialog task compatibility, open-source plans, control, security, and ease of use, ChatTTS provides high-quality and natural-sounding voice synthesis. It is designed for conversational tasks, dialogue speech generation, video introductions, educational content synthesis, and more. Users can integrate ChatTTS into their applications using provided API and SDKs for a seamless text-to-speech experience.
Janus Pro
Janus Pro is a free online AI image generator that leverages advanced multimodal processing to analyze and create high-quality images. It outperforms models like DALL-E 3 and Stable Diffusion, delivering exceptional detail and accuracy. Built on DeepSeek-LLM architecture with 7 billion parameters, Janus Pro features separate encoding pathways for enhanced flexibility. The application is freely available on Hugging Face, trained on millions of samples for multimodal understanding and visual generation.
ChatTTS
ChatTTS is an open-source text-to-speech model designed for dialogue scenarios, supporting both English and Chinese speech generation. Trained on approximately 100,000 hours of Chinese and English data, it delivers speech quality comparable to human dialogue. The tool is particularly suitable for tasks involving large language model assistants and creating dialogue-based audio and video introductions. It provides developers with a powerful and easy-to-use tool based on open-source natural language processing and speech synthesis technologies.
SDXL Turbo
SDXL Turbo is a cutting-edge text-to-image generation model that leverages Adversarial Diffusion Distillation (ADD) technology for high-quality, real-time image synthesis. Developed by Stability AI, SDXL Turbo is a distilled version of the SDXL 1.0 model, specifically trained for real-time synthesis. It excels in generating photorealistic images from text prompts in a single network evaluation, making it ideal for applications demanding speed and efficiency, such as video games, virtual reality, and instant content creation. SDXL Turbo is accessible to both professionals and hobbyists alike, with simple setup requirements and an intuitive interface. It presents unparalleled opportunities for research and development in advanced AI and image synthesis.
QuData
QuData is an AI and ML solutions provider that helps businesses enhance their value through AI/ML implementation, product design, QA, and consultancy services. They offer a range of services including ChatGPT integration, speech synthesis, speech recognition, image analysis, text analysis, predictive analytics, big data analysis, innovative research, and DevOps solutions. QuData has extensive experience in machine learning and artificial intelligence, enabling them to create high-quality solutions for specific industries, helping customers save development costs and achieve their business goals.
System Pro
System Pro is a cutting-edge platform that revolutionizes the way users search, synthesize, and contextualize scientific research, with a primary focus on health and life sciences. It offers a fast and reliable solution for accessing valuable information in the field of research, empowering users to stay informed and make informed decisions. By leveraging advanced technology, System Pro enhances the research experience by providing a seamless and efficient search process, enabling users to discover relevant content effortlessly.
Stablematic
Stablematic is a web-based platform that allows users to run Stable Diffusion and other machine learning models without the need for local setup or hardware limitations. It provides a user-friendly interface, pre-installed plugins, and dedicated GPU resources for a seamless and efficient workflow. Users can generate images and videos from text prompts, merge multiple models, train custom models, and access a range of pre-trained models, including Dreambooth and CivitAi models. Stablematic also offers API access for developers and dedicated support for users to explore and utilize the capabilities of Stable Diffusion and other machine learning models.
Robot Challenge Screen
Aimodelagency.com is an AI tool that offers a Robot Challenge Screen for checking site connection security. Users can verify the security of their website by enabling cookies in their browser settings. The tool helps in identifying any potential security vulnerabilities and ensures a safe browsing experience for visitors.
Azoo
Azoo is an AI-powered platform that offers a wide range of services in various categories such as logistics, animal, consumer commerce, real estate, law, and finance. It provides tools for data analysis, event management, and guides for users. The platform is designed to streamline processes, enhance decision-making, and improve efficiency in different industries. Azoo is developed by Cubig Corp., a company based in Seoul, South Korea, and aims to revolutionize the way businesses operate through innovative AI solutions.
Synthetic Work (Re)Search Assistant
Search data on the impact of AI on jobs, productivity and operations published by Synthetic Work (https://synthetic.work)
Synthetic Biologist
A customized ChatGPT designed to excel in the field of synthetic biology, as a scientist, an engineer, and a business man
Synthetic Detectives, a text adventure game
AI powered sleuths solve crimes with synthetic precision. Let me entertain you with this interactive true crime mystery game, lovingly illustrated in the style of synthetic, AI-powered humanoid robots.
Synthetic Heists, a text adventure game
AI-powered heists: Where cunning meets calculation. Let me entertain you with this interactive heist game, lovingly illustrated in the style of synthetic, AI-powered humanoid robots.
NeuroAI Expert
Expert in synthetic neurobiology, brain organoids, and AI applications in neuroscience. Powered by Breebs (www.breebs.com)
Advanced Motor Oils & Lubricants Guru
Premier expert guide on motor oils, lubricants, developed on OpenAI.
Clinical Medicine Handbook
I can assist doctors with information synthesis, medical literature reviews, patient education material, diagnostic guidelines, treatment options, ethical dilemmas, and staying updated on medical research and innovations.
Belgique: Pour qui voter au élections belges 2024
Poser des questions précises sur vos centres d'intéret, expliquer votre situation et demander en conclusion de synthétisé afin d'avoir une vue plus précise. - | intègre la totalité des programmes politiques belges (Electeurs en Wallonnie) |
SurveyX
SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.
awesome-generative-ai
A curated list of Generative AI projects, tools, artworks, and models
Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review
This repository is a collection of papers and resources related to recommendation systems, focusing on foundation models, transferable recommender systems, large language models, and multimodal recommender systems. It explores questions such as the necessity of ID embeddings, the shift from matching to generating paradigms, and the future of multimodal recommender systems. The papers cover various aspects of recommendation systems, including pretraining, user representation, dataset benchmarks, and evaluation methods. The repository aims to provide insights and advancements in the field of recommendation systems through literature reviews, surveys, and empirical studies.
LLM-for-misinformation-research
LLM-for-misinformation-research is a curated paper list of misinformation research using large language models (LLMs). The repository covers methods for detection and verification, tools for fact-checking complex claims, decision-making and explanation, claim matching, post-hoc explanation generation, and other tasks related to combating misinformation. It includes papers on fake news detection, rumor detection, fact verification, and more, showcasing the application of LLMs in various aspects of misinformation research.
OpenAdapt
OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.
llms-interview-questions
This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.
slideflow
Slideflow is a deep learning library for digital pathology, offering a user-friendly interface for model development. It is designed for medical researchers and AI enthusiasts, providing an accessible platform for developing state-of-the-art pathology models. Slideflow offers customizable training pipelines, robust slide processing and stain normalization toolkit, support for weakly-supervised or strongly-supervised labels, built-in foundation models, multiple-instance learning, self-supervised learning, generative adversarial networks, explainability tools, layer activation analysis tools, uncertainty quantification, interactive user interface for model deployment, and more. It supports both PyTorch and Tensorflow, with optional support for Libvips for slide reading. Slideflow can be installed via pip, Docker container, or from source, and includes non-commercial add-ons for additional tools and pretrained models. It allows users to create projects, extract tiles from slides, train models, and provides evaluation tools like heatmaps and mosaic maps.
dlio_benchmark
DLIO is an I/O benchmark tool designed for Deep Learning applications. It emulates modern deep learning applications using Benchmark Runner, Data Generator, Format Handler, and I/O Profiler modules. Users can configure various I/O patterns, data loaders, data formats, datasets, and parameters. The tool is aimed at emulating the I/O behavior of deep learning applications and provides a modular design for flexibility and customization.
llm-swarm
llm-swarm is a tool designed to manage scalable open LLM inference endpoints in Slurm clusters. It allows users to generate synthetic datasets for pretraining or fine-tuning using local LLMs or Inference Endpoints on the Hugging Face Hub. The tool integrates with huggingface/text-generation-inference and vLLM to generate text at scale. It manages inference endpoint lifetime by automatically spinning up instances via `sbatch`, checking if they are created or connected, performing the generation job, and auto-terminating the inference endpoints to prevent idling. Additionally, it provides load balancing between multiple endpoints using a simple nginx docker for scalability. Users can create slurm files based on default configurations and inspect logs for further analysis. For users without a Slurm cluster, hosted inference endpoints are available for testing with usage limits based on registration status.
BrowserGym
BrowserGym is an open, easy-to-use, and extensible framework designed to accelerate web agent research. It provides benchmarks like MiniWoB, WebArena, VisualWebArena, WorkArena, AssistantBench, and WebLINX. Users can design new web benchmarks by inheriting the AbstractBrowserTask class. The tool allows users to install different packages for core functionalities, experiments, and specific benchmarks. It supports the development setup and offers boilerplate code for running agents on various tasks. BrowserGym is not a consumer product and should be used with caution.
ichigo
Ichigo is a local real-time voice AI tool that uses an early fusion technique to extend a text-based LLM to have native 'listening' ability. It is an open research experiment with improved multiturn capabilities and the ability to refuse processing inaudible queries. The tool is designed for open data, open weight, on-device Siri-like functionality, inspired by Meta's Chameleon paper. Ichigo offers a web UI demo and Gradio web UI for users to interact with the tool. It has achieved enhanced MMLU scores, stronger context handling, advanced noise management, and improved multi-turn capabilities for a robust user experience.
bonito
Bonito is an open-source model for conditional task generation, converting unannotated text into task-specific training datasets for instruction tuning. It is a lightweight library built on top of Hugging Face `transformers` and `vllm` libraries. The tool supports various task types such as question answering, paraphrase generation, sentiment analysis, summarization, and more. Users can easily generate synthetic instruction tuning datasets using Bonito for zero-shot task adaptation.
Dataset
DL3DV-10K is a large-scale dataset of real-world scene-level videos with annotations, covering diverse scenes with different levels of reflection, transparency, and lighting. It includes 10,510 multi-view scenes with 51.2 million frames at 4k resolution, and offers benchmark videos for novel view synthesis (NVS) methods. The dataset is designed to facilitate research in deep learning-based 3D vision and provides valuable insights for future research in NVS and 3D representation learning.
NeMo
NeMo Framework is a generative AI framework built for researchers and pytorch developers working on large language models (LLMs), multimodal models (MM), automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The primary objective of NeMo is to provide a scalable framework for researchers and developers from industry and academia to more easily implement and design new generative AI models by being able to leverage existing code and pretrained models.
Awesome-Code-LLM
Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)
llm-engineer-toolkit
The LLM Engineer Toolkit is a curated repository containing over 120 LLM libraries categorized for various tasks such as training, application development, inference, serving, data extraction, data generation, agents, evaluation, monitoring, prompts, structured outputs, safety, security, embedding models, and other miscellaneous tools. It includes libraries for fine-tuning LLMs, building applications powered by LLMs, serving LLM models, extracting data, generating synthetic data, creating AI agents, evaluating LLM applications, monitoring LLM performance, optimizing prompts, handling structured outputs, ensuring safety and security, embedding models, and more. The toolkit covers a wide range of tools and frameworks to streamline the development, deployment, and optimization of large language models.
AiTreasureBox
AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.
deepeval
DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.
awesome-generative-ai-guide
This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.
AITreasureBox
AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.