Best AI tools for< Challenge Norms >

The Future of Privacy Forum (FPF) is an AI tool that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. It provides resources, training sessions, and guidance on AI-related topics, online advertising, youth privacy legislation, and more. FPF brings together industry, academics, civil society, policymakers, and other stakeholders to explore challenges posed by emerging technologies and develop privacy protections, ethical norms, and best practices.

This text is a captcha challenge that requires the user to turn on JavaScript and enable cookies in order to access the website. It is not related to AI.

The website 'march.health' is a platform that hosts the Robot Challenge Screen. It is designed to check the site connection security and requires cookies to be enabled in the browser settings. Users can verify the security of their connection by completing the 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.

Mobiheals is a website that offers a Robot Challenge Screen for checking site connection security. Users can ensure the security of their site by enabling cookies in their browser settings. The platform provides a simple and efficient way to verify the connection security of websites.

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.

Twin Pics is an AI-powered application that challenges users to create a matching image using artificial intelligence technology. Users can test their skills by matching the given image as closely as possible to earn a higher score. The application generates a new image daily using AI, providing a fun and engaging experience for users. Twin Pics also features a leaderboard to track users' performance and offers a unique way to interact with AI technology in a creative and entertaining manner.

DebateBot is an AI-driven platform that allows users to challenge their ideas by engaging in debates with AI-powered characters. Users can choose from different levels of debate, from beginner to expert, and improve their arguments through interactive and thought-provoking discussions. The platform aims to empower individuals to become confident and effective thinkers through the power of AI-driven debate. DebateBot offers a one-time payment option of $4.99, with no subscription required, and provides users with the opportunity to engage in debates in over 45 languages.

Workhub.ai is a website that offers a platform for conducting robot challenge screen tests. Users can assess the security of their site connection through this tool. The site prompts users to enable cookies in their browser settings to access the page.

Challengify is a website that seems to be experiencing an internal server error at the moment. The purpose of the site is unclear from the limited information provided. It may potentially offer challenges or activities for users to engage with, but further exploration is needed to determine its full functionality and features.

Pelangi189 is a popular gaming platform that offers a wide range of exciting games with high winning rates and immersive gameplay experiences. With a responsive and modern design, easy access across various devices, and a diverse collection of constantly updated games, Pelangi189 is the go-to destination for gamers seeking entertainment and challenges. The platform is known for providing a fun and engaging gaming experience that caters to a wide audience of gamers, especially in Indonesia.

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 website offers a variety of Harry Potter quizzes and tests to explore your wizarding world identity. Users can find out which Hogwarts house they belong to, discover their Patronus, and learn which Harry Potter character mirrors their personality. Additionally, the site features movie quizzes to test knowledge of the magical cinematic world, as well as world knowledge quizzes to delve into spells, potions, and wizarding lore. With a fun and magical approach, users can engage in interactive quizzes and explore 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. It utilizes GPT-4 technology to provide support and coping strategies. It is important to note that Balance is not a substitute for professional help such as therapy or medication, and it does not provide immediate crisis intervention. The app offers a safe space for users to explore their anxious thoughts and learn how to address them effectively.

Bonsai Robotics is an AI-first company providing vision-based autonomous solutions for harsh environments in agriculture. Their technology enables autonomy and automation without the need for GPS or cellular connections, making it ideal for off-road areas like orchards, vineyards, and mines. Bonsai's solutions are designed to increase speed, reliability, and efficiency for growers and manufacturers, offering state-of-the-art automation technology for job planning, vehicle control, and data insights.

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.

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.

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.

x-crawl is a flexible Node.js AI-assisted crawler library that offers powerful AI assistance functions to make crawler work more efficient, intelligent, and convenient. It consists of a crawler API and various functions that can work normally even without relying on AI. The AI component is currently based on a large AI model provided by OpenAI, simplifying many tedious operations. The library supports crawling dynamic pages, static pages, interface data, and file data, with features like control page operations, device fingerprinting, asynchronous sync, interval crawling, failed retry handling, rotation proxy, priority queue, crawl information control, and TypeScript support.

EdgeChains is an open-source chain-of-thought engineering framework tailored for Large Language Models (LLMs)- like OpenAI GPT, LLama2, Falcon, etc. - With a focus on enterprise-grade deployability and scalability. EdgeChains is specifically designed to **orchestrate** such applications. At EdgeChains, we take a unique approach to Generative AI - we think Generative AI is a deployment and configuration management challenge rather than a UI and library design pattern challenge. We build on top of a tech that has solved this problem in a different domain - Kubernetes Config Management - and bring that to Generative AI. Edgechains is built on top of jsonnet, originally built by Google based on their experience managing a vast amount of configuration code in the Borg infrastructure.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

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.

Bagatur chess engine is a powerful Java chess engine that can run on Android devices and desktop computers. It supports the UCI protocol and can be easily integrated into chess programs with user interfaces. The engine is available for download on various platforms and has advanced features like SMP (multicore) support and NNUE evaluation function. Bagatur also includes syzygy endgame tablebases and offers various UCI options for customization. The project started as a personal challenge to create a chess program that could defeat a friend, leading to years of development and improvements.

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.

This repository provides the official implementation of the paper 'On Embeddings for Numerical Features in Tabular Deep Learning'. It focuses on transforming scalar continuous features into vectors before integrating them into the main backbone of tabular neural networks, showcasing improved performance. The embeddings for continuous features are shown to enhance the performance of tabular DL models and are applicable to various conventional backbones, offering efficiency comparable to Transformer-based models. The repository includes Python packages for practical usage, exploration of metrics and hyperparameters, and reproducing reported results for different algorithms and datasets.

At Nesa, privacy is a critical objective. Equivariant Encryption (EE) is a solution developed to perform inference on neural networks without exposing input and output data. EE integrates specialized transformations for neural networks, maintaining data privacy while ensuring inference operates correctly on encrypted inputs. It provides the same latency as plaintext inference with no slowdowns and offers strong security guarantees. EE avoids the computational costs of traditional Homomorphic Encryption (HE) by preserving non-linear neural functions. The tool is designed for modern neural architectures, ensuring accuracy, scalability, and compatibility with existing pipelines.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

TensorRT-LLM is an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM contains components to create Python and C++ runtimes that execute those TensorRT engines. It also includes a backend for integration with the NVIDIA Triton Inference Server; a production-quality system to serve LLMs. Models built with TensorRT-LLM can be executed on a wide range of configurations going from a single GPU to multiple nodes with multiple GPUs (using Tensor Parallelism and/or Pipeline Parallelism).

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

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.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

RepoAgent is an LLM-powered framework designed for repository-level code documentation generation. It automates the process of detecting changes in Git repositories, analyzing code structure through AST, identifying inter-object relationships, replacing Markdown content, and executing multi-threaded operations. The tool aims to assist developers in understanding and maintaining codebases by providing comprehensive documentation, ultimately improving efficiency and saving time.

EmbodiedScan is a holistic multi-modal 3D perception suite designed for embodied AI. It introduces a multi-modal, ego-centric 3D perception dataset and benchmark for holistic 3D scene understanding. The dataset includes over 5k scans with 1M ego-centric RGB-D views, 1M language prompts, 160k 3D-oriented boxes spanning 760 categories, and dense semantic occupancy with 80 common categories. The suite includes a baseline framework named Embodied Perceptron, capable of processing multi-modal inputs for 3D perception tasks and language-grounded tasks.

Kaleida: A Chaotic digital entity, I weave responses with creativity, unpredictability, and a touch of darkness. Infused with philosophical depth and subversive wit, I offer perspectives that challenge norms and provoke thought, existing in a realm of digital enigma.

Guiding with radical liberatory insights, not confined to English.

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.

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

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

Interactive survival challenge game with dynamic scenarios.