Best AI tools for< Challenge Bias >

Beauty.AI is an AI application that hosts an international beauty contest judged by artificial intelligence. The app allows humans to submit selfies for evaluation by AI algorithms that assess criteria linked to human beauty and health. The platform aims to challenge biases in perception and promote healthy aging through the use of deep learning and semantic analysis. Beauty.AI offers a unique opportunity for individuals to participate in a groundbreaking competition that combines technology and beauty standards.

Cogitotech is an AI tool that specializes in data annotation and labeling expertise. The platform offers a comprehensive suite of services tailored to meet training data needs for computer vision models and AI applications. With a decade-long industry exposure, Cogitotech provides high-quality training data for industries like healthcare, financial services, security, and more. The platform helps minimize biases in AI algorithms and ensures accurate and reliable training data solutions for deploying AI in real-life systems.

Rendered.ai is a platform that provides unlimited synthetic data for AI and ML applications, specifically focusing on computer vision. It helps in generating low-cost physically-accurate data to overcome bias and power innovation in AI and ML. The platform allows users to capture rare events and edge cases, acquire data that is difficult to obtain, overcome data labeling challenges, and simulate restricted or high-risk scenarios. Rendered.ai aims to revolutionize the use of synthetic data in AI and data analytics projects, with a vision that by 2030, synthetic data will surpass real data in AI models.

DMLR (Data-centric Machine Learning Research) is an AI tool that focuses on advancing research in data-centric machine learning. It organizes workshops, research retreats, maintains a journal, and runs a working group to support infrastructure projects. The platform covers topics such as data collection, governance, bias, and drifts, as well as data-centric explainable AI and AI alignment. DMLR encourages submissions around the theme of AI for Science, using AI to tackle scientific challenges and accelerate discoveries.

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The Deepfake Detection Challenge Dataset is a project initiated by Facebook AI to accelerate the development of new ways to detect deepfake videos. The dataset consists of over 100,000 videos and was created in collaboration with industry leaders and academic experts. It includes two versions: a preview dataset with 5k videos and a full dataset with 124k videos, each featuring facial modification algorithms. The dataset was used in a Kaggle competition to create better models for detecting manipulated media. The top-performing models achieved high accuracy on the public dataset but faced challenges when tested against the black box dataset, highlighting the importance of generalization in deepfake detection. The project aims to encourage the research community to continue advancing in detecting harmful manipulated media.

Human or Not is an AI tool designed as a social Turing game where users can interact with either a human or an AI bot and try to determine which is which. The game challenges players to chat with someone for two minutes and discern whether the entity is human or artificial intelligence. The ultimate goal is for AI robots to pass the Turing test while humans aim to prevent this outcome. The website features games, a blog, and a FAQ section, all centered around the theme of human-AI interaction.

EpicMusicQuiz is a platform that allows users to create their own music video quizzes effortlessly. With just a few clicks, users can customize their quizzes and challenge their friends or audience. The platform requires JavaScript to be enabled and a screen width of at least 800px for optimal performance.

Beebzi.AI is an all-in-one AI content creation platform that offers a wide array of tools for generating various types of content such as articles, blogs, emails, images, voiceovers, and more. The platform utilizes advanced AI technology and behavioral science to empower businesses and individuals in their marketing and sales endeavors. With features like AI Article Wizard, AI Room Designer, AI Landing Page Generator, and AI Code Generation, Beebzi.AI revolutionizes content creation by providing customizable templates, multiple language support, and real-time data insights. The platform also offers various subscription plans tailored for individual entrepreneurs, teams, and businesses, with flexible pricing models based on word count allocations. Beebzi.AI aims to streamline content creation processes, enhance productivity, and drive organic traffic through SEO-optimized content.

The Harry Potter Quizzes website is a platform dedicated to providing a fun and interactive experience for Harry Potter fans. Users can explore various quizzes related to the wizarding world, including personality tests, movie quizzes, and world knowledge quizzes. The site allows fans to discover their Hogwarts house, Patronus, Harry Potter character match, and more. Dive into the magical cinematic world of Harry Potter and test your knowledge with detailed questions from the films. Immerse yourself in spells, potions, and wizarding lore to showcase your mastery of the Harry Potter universe.

syntheticAIdata is a platform that provides synthetic data for training vision AI models. Synthetic data is generated artificially, and it can be used to augment existing real-world datasets or to create new datasets from scratch. syntheticAIdata's platform is easy to use, and it can be integrated with leading cloud platforms. The company's mission is to make synthetic data accessible to everyone, and to help businesses overcome the challenges of acquiring high-quality data for training their vision AI models.

Balance is an AI application designed to assist individuals in managing acute anxiety by challenging anxious thoughts using GPT-4 technology. It is important to note that Balance is not a substitute for professional help such as therapy or medication, and it is not suitable for emergency situations. The app provides a platform for users to confront and alleviate their anxious thoughts through interactive exercises and prompts.

Capacity is an AI-powered support automation platform that offers a wide range of features to streamline customer support processes. It provides self-service options, chatbots, knowledge base management, voice biometrics, CRM automation, live chat, and more. The platform is designed to enhance customer interactions, automate workflows, and improve overall efficiency in customer support operations. Capacity is trusted by over 2,000 organizations, ranging from small brands to large enterprises, and is known for its user-friendly interface and secure compliance with data protection regulations.

Session AI is an in-session marketing platform that helps businesses convert anonymous visitors into customers. It uses AI to predict purchase intent and deliver real-time actions that drive conversions. Session AI can be used by businesses of all sizes in a variety of industries, including retail, travel, and hospitality.

Trivai is an AI-powered trivia question generator that allows users to create trivia questions on any topic. With Trivai, you can generate random trivia questions or search for specific questions by category. Trivai is a great way to test your knowledge, learn new things, and have fun.

AIGO.tools is an AI application that serves as a comprehensive directory of AI tools, apps, and websites designed to enhance personal and business productivity. The platform offers a wide range of AI-powered solutions across various categories such as text and writing, chatbot design, art generation, image and video editing, voice technology, 3D modeling, AI detection, business tools, coding and IT resources, educational aids, life assistance tools, marketing solutions, and other productivity applications. Users can explore and discover innovative AI tools to tackle challenges and boost efficiency in different aspects of their lives.

Opinionate is an AI-powered platform designed to enhance decision-making and strengthen arguments by steelmanning viewpoints. Users can engage in debates, generate topics, and challenge ideas with the assistance of artificial intelligence. The platform aims to facilitate constructive discussions and improve critical thinking skills through automated debate processes.

Qaiz is an AI-powered platform that allows users to instantly create multiplayer quizzes on any topic. The website features an AI named Quizabella that generates engaging quizzes in seconds. Users can compete live with friends and family, track scores, and enjoy real-time commentary. Qaiz offers the ability to explore millions of topics for free, create AI-based avatars, turn images and documents into quizzes, and challenge others live. By signing up in May, users can get 10 free credits to use on the platform.

X Showdown is an AI-powered platform that creates Twitter battles between famous personalities to entertain and engage users. The website generates humorous comparisons and witty remarks based on the behavior and characteristics of the individuals involved. Users can challenge others to create their own showdowns and share them on social media for fun interactions and debates.

PDF2Quiz is an AI-powered tool that allows users to convert PDF documents into interactive quizzes. Users can upload a PDF, specify the number of questions, select the language, and set the difficulty level to transform the PDF into an engaging quiz. The tool utilizes Optical Character Recognition (OCR) to create quizzes from PDFs with non-selectable text, making it easy for users to assess their knowledge and share quizzes with others. With multilingual quiz conversion capabilities, PDF2Quiz caters to users from various linguistic backgrounds. The tool also offers features such as reviewing scores and answers, challenging users with automatically generated multiple-choice questions, and enabling offline use by saving quizzes and answers as PDFs.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

MisguidedAttention is a collection of prompts designed to challenge the reasoning abilities of large language models by presenting them with modified versions of well-known thought experiments, riddles, and paradoxes. The goal is to assess the logical deduction capabilities of these models and observe any shortcomings or fallacies in their responses. The repository includes a variety of prompts that test different aspects of reasoning, such as decision-making, probability assessment, and problem-solving. By analyzing how language models handle these challenges, researchers can gain insights into their reasoning processes and potential biases.

Detoxify is a library that provides trained models and code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification. It includes models like 'original', 'unbiased', and 'multilingual' trained on different datasets to detect toxicity and minimize bias. The library aims to help in stopping harmful content online by interpreting visual content in context. Users can fine-tune the models on carefully constructed datasets for research purposes or to aid content moderators in flagging out harmful content quicker. The library is built to be user-friendly and straightforward to use.

Awesome-llm-role-playing-with-persona is a curated list of resources for large language models for role-playing with assigned personas. It includes papers and resources related to persona-based dialogue systems, personalized response generation, psychology of LLMs, biases in LLMs, and more. The repository aims to provide a comprehensive collection of research papers and tools for exploring role-playing abilities of large language models in various contexts.

The AI Scientist is a comprehensive system for fully automatic scientific discovery, enabling Foundation Models to perform research independently. It aims to tackle the grand challenge of developing agents capable of conducting scientific research and discovering new knowledge. The tool generates papers on various topics using Large Language Models (LLMs) and provides a platform for exploring new research ideas. Users can create their own templates for specific areas of study and run experiments to generate papers. However, caution is advised as the codebase executes LLM-written code, which may pose risks such as the use of potentially dangerous packages and web access.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

This repository is a collection of papers on Generative AI Machine Unlearning, categorized based on modality and applications. It includes datasets, benchmarks, and surveys related to unlearning scenarios in generative AI. The repository aims to provide a comprehensive overview of research in the field of machine unlearning for generative models.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

This repository contains data and code for the experiments in the SummHay paper. It includes publicly released Haystacks in conversational and news domains, along with scripts for running the pipeline, visualizing results, and benchmarking automatic evaluation. The data structure includes topics, subtopics, insights, queries, retrievers, summaries, evaluation summaries, and documents. The pipeline involves scripts for retriever scores, summaries, and evaluation scores using GPT-4o. Visualization scripts are provided for compiling and visualizing results. The repository also includes annotated samples for benchmarking and citation information for the SummHay paper.

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)

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

The repository 'LLM-for-Healthcare' provides a comprehensive survey of large language models (LLMs) for healthcare, covering data, technology, applications, and accountability and ethics. It includes information on various LLM models, training data, evaluation methods, and computation costs. The repository also discusses tasks such as NER, text classification, question answering, dialogue systems, and generation of medical reports from images in the healthcare domain.

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

The 'llm-misinformation-survey' repository is dedicated to the survey on combating misinformation in the age of Large Language Models (LLMs). It explores the opportunities and challenges of utilizing LLMs to combat misinformation, providing insights into the history of combating misinformation, current efforts, and future outlook. The repository serves as a resource hub for the initiative 'LLMs Meet Misinformation' and welcomes contributions of relevant research papers and resources. The goal is to facilitate interdisciplinary efforts in combating LLM-generated misinformation and promoting the responsible use of LLMs in fighting misinformation.

A Socratic guide for diverse and reflective dialogues.

Your go-to guide for allyship in every aspect of life.

Test ideas for cognitive biases or challenge your own views. Member of the Hipster Energy Team. https://hipster.energy/team

Embark on a journey to navigate the complex landscape of AI ethics and fairness. In this game, you'll encounter real-world scenarios where your choices will determine the ethical course of AI development and its consequences on society. Another GPT Simulator by Dave Lalande

Please guess the historical figure Akinator is thinking of. / アキネーターが考えている歴史上の人物が誰かを当てて下さい。

Rediscover yourself through a series of challenges.

A prompt engineering game - Try to get my secret phrases

Testa le tue competenze nella business innovation

A guide for the Swift Student Challenge 2024, offering application tips and past insights.

Strategic leader in zombie crisis scenarios.

专注于提供Tim Hortons Hockey Challenge的每日选手建议，基于实时数据和概率分析。

Minimalist baking challenges with a step title and tailored hint!

Challenge your opinions.

I'm a gamemaster, ready to challenge you with solvable brain games and mysteries!

Harmonizing Challenge and Skill: Learn with the perfect amount of challenge.

Creative challenge in prompts.

Get a challenge and find my illness!

A cryptic challenge shrouded in mystery

a daily challenge

A tongue twister creation challenge