Best AI tools for< Assess Skills >

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.

AI Interviewer Pro is an AI-driven interviewing platform that helps businesses streamline their hiring process. With AI Interviewer Pro, businesses can automate the interview process, reduce bias, and make more informed hiring decisions. AI Interviewer Pro uses AI to assess candidates' skills, personality, and fit for a given role. The platform also provides businesses with insights into candidates' strengths and weaknesses, which can help them make better hiring decisions. AI Interviewer Pro is easy to use and integrates with most job application pages. Businesses can get started with AI Interviewer Pro for free and there are no long-term contracts.

HireVue is an AI-driven hiring platform that aims to connect talent to opportunity and unlock the potential in every candidate. By leveraging AI-driven technology, HireVue empowers teams to identify candidate potential and traits that predict future success. The platform offers solutions for hourly hiring, campus hiring, professional hiring, and technical hiring, enabling fair and transparent hiring processes. HireVue's structured interviews, text-powered automated workflow, and flexible solutions streamline the hiring process, ensuring consistent talent assessment and faster hiring decisions.

PMaps is an AI-powered talent assessment platform designed to revolutionize talent management by offering evidence-based decision-making tools for recruiters and talent practitioners. The platform leverages AI and people analytics to provide precise, customizable assessments across various job roles and industries. PMaps ensures fair, unbiased talent evaluation through scientifically backed assessments, standardized processes, and comprehensive evaluations. With features like automated distribution of assessment links, role-specific tests, and real-time analytics, PMaps streamlines recruitment processes and enhances talent acquisition. The platform prioritizes data security and privacy, complying with GDPR standards and ensuring ethical handling of data. PMaps offers customizable assessments, a diverse skill library, and a user-friendly interface to tailor assessments to specific job roles and evolving industry needs. By providing detailed reports, continuous platform updates, and employee engagement surveys, PMaps empowers organizations to make informed hiring decisions, improve employee retention, and drive organizational success.

Pitch N Hire is an AI-powered Applicant Tracking & Assessment Software designed to assist recruiters in enhancing their talent decisions. The platform offers a robust data-driven approach with descriptive, predictive, and prescriptive analytics to address talent acquisition challenges. It provides insights into candidate behavior, automated processes, and a vast network of career sites. With advanced AI data models, the software forecasts on-the-job performance, streamlines talent pipelines, and offers personalized branded experiences for candidates.

Eightfold is an AI-powered talent intelligence platform that helps organizations optimize their talent acquisition and management processes. The platform leverages advanced AI algorithms to match the right candidates with the right job opportunities, enabling companies to streamline their recruitment efforts and improve overall hiring outcomes. Eightfold provides a comprehensive suite of tools for talent discovery, candidate screening, skill assessment, and personalized career development. With its data-driven approach, Eightfold empowers businesses to make informed decisions and build high-performing teams.

Ohai.ai is an AI-powered platform that offers personalized career guidance and job search assistance. It uses advanced algorithms to analyze user profiles, skills, and preferences to provide tailored job recommendations and professional development advice. The platform aims to help individuals make informed career decisions and enhance their job search efficiency by leveraging the power of artificial intelligence.

AIHire is an AI-powered platform designed to streamline and enhance the job search process. By leveraging advanced artificial intelligence algorithms, AIHire offers users personalized job recommendations, resume optimization, interview preparation tips, and career guidance. The platform aims to revolutionize the way individuals find and secure employment opportunities by providing tailored support and insights based on their unique skills and preferences. With AIHire, users can save time, increase their chances of landing their dream job, and stay ahead in today's competitive job market.

CodeSignal is an AI-powered platform that helps users discover and develop in-demand skills. It offers skills assessments and AI-powered learning tools to help individuals and teams level up their skills. The platform provides solutions for talent acquisition, technical interviewing, skill development, and more. With features like pre-screening, interview assessments, and personalized learning, CodeSignal aims to help users advance their careers and build high-performing teams.

Reppls is an AI Interview Agents tool designed for data-driven hiring processes. It helps companies interview all applicants to identify the right talents hidden behind uninformative CVs. The tool offers seamless integration with daily tools, such as Zoom and MS Teams, and provides deep technical assessments in the early stages of hiring, allowing HR specialists to focus on evaluating soft skills. Reppls aims to transform the hiring process by saving time spent on screening, interviewing, and assessing candidates.

Emocional is a platform that helps businesses evaluate, plan, and act to develop their employees' soft skills and promote well-being. It offers a unique personality and soft skills assessment, a personalized action plan, and access to expert training, coaching, therapy, and digital tools like EVA AI.

Talynce is an AI-powered technical interview platform that revolutionizes the recruitment process by automating candidate screening through live coding interviews and technical Q&A sessions. It helps companies assess coding skills and theoretical knowledge efficiently, empowering them to identify top technical talent faster.

HireVue is an AI-powered platform that offers skill validation, video interviewing, assessments, and more to streamline the hiring process. It helps in validating role-specific skills, simplifying hiring, reducing bias, and future-proofing recruitment with Virtual Job Tryouts and AI-powered assessments. The platform also enables intelligent interviewing, talent engagement, workflow automation, and internal mobility, making hiring more efficient and effective.

Testportal is an online assessment platform that allows users to create their own tests, quizzes, and exams. It is used by businesses and educational institutions to assess the skills and knowledge of their employees and students. Testportal offers a variety of features, including AI-powered question generation, automatic grading, and comprehensive insights and analytics. It also integrates with Microsoft Teams and provides enterprise-grade security and data protection.

Bolto is an AI-powered platform designed to help businesses easily hire and onboard global software developers. It offers a comprehensive solution for finding, vetting, paying, and managing employees, streamlining the entire recruitment process. Bolto leverages AI technology to analyze resumes, conduct interviews, and assess coding skills to match the perfect candidate with the right role. With features like simplified hiring, quick sourcing, and efficient payroll management, Bolto aims to revolutionize the way companies build and manage their dream teams.

Waggle AI is an AI-powered coaching tool designed to help leaders and managers improve their skills in real-time. It provides personalized feedback, skill insights, and meeting analytics to enhance leadership effectiveness. Waggle AI integrates seamlessly with existing meeting tools and calendars, offering features such as calendar management, meeting preparation, AI note-taking, meeting metrics, and skills assessment. The application aims to optimize leadership development by nudging users with best practices, providing data-driven insights, and fostering continuous improvement.

YouTeam is an AI-powered platform that offers a transparent vetting process for hiring engineers. Leveraging deep learning technology, YouTeam provides customized vetting criteria tailored to each role's responsibilities and required skillset. The platform streamlines the hiring process by presenting engineering candidates aligned with the company's unique standards, allowing for a final interview to select the perfect match. With features like technical skill review assessments, coding assessments, and soft skills & culture fit questions, YouTeam ensures a data-rich candidate profile for informed decision-making.

Talentscreener is an AI-powered talent assessment platform that helps businesses find the best candidates for their open positions. The platform uses a variety of AI algorithms to assess candidates' skills, experience, and personality, and then provides businesses with a ranked list of the most qualified candidates. Talentscreener also offers a variety of other features, such as job posting, candidate management, and reporting.

RightMatch is an AI-powered assessment tool designed to help hiring managers qualify and vet candidates more accurately and quickly. It uses AI-generated, skill-specific audio questions to assess candidates' tech skills in just 20-35 minutes, saving hiring teams up to 5 hours per hire. RightMatch also provides skill proficiency scores, transcripts, voice notes, and video recordings to help hiring teams make more informed decisions. Additionally, RightMatch is designed to minimize bias by focusing solely on skills, experience, and qualifications relevant to the job, and it provides actionable insights for candidates who may not be an exact match for a specific role.

SmallTalk2Me is an AI-powered simulator designed to help users improve their spoken English. It offers a range of features, including mock job interviews, IELTS speaking test simulations, and daily stories and courses. The platform uses AI to provide users with instant feedback on their performance, helping them to identify areas for improvement and track their progress over time.

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.

The Korean SAT LLM Leaderboard is a benchmarking project that allows users to test their fine-tuned Korean language models on a 10-year dataset of the Korean College Scholastic Ability Test (CSAT). The project provides a platform to compare human academic ability with the performance of large language models (LLMs) on various question types to assess reading comprehension, critical thinking, and sentence interpretation skills. It aims to share benchmark data, utilize a reliable evaluation dataset curated by the Korea Institute for Curriculum and Evaluation, provide annual updates to prevent data leakage, and promote open-source LLM advancement for achieving top-tier performance on the Korean CSAT.

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.

Raspberry is an open source project aimed at creating a toy dataset for finetuning Large Language Models (LLMs) with reasoning abilities. The project involves synthesizing complex user queries across various domains, generating CoT and Self-Critique data, cleaning and rectifying samples, finetuning an LLM with the dataset, and seeking funding for scalability. The ultimate goal is to develop a dataset that challenges models with tasks requiring math, coding, logic, reasoning, and planning skills, spanning different sectors like medicine, science, and software development.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

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 focuses on utilizing generative AI to bridge the gap between natural language questions and SQL queries, aiming to improve data consumption in enterprise data warehouses. It addresses challenges in SQL query generation, such as foreign key relationships and table joins, and highlights the importance of accuracy metrics like Execution Accuracy (EX) and Exact Set Match Accuracy (EM). The workshop content covers advanced prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning models, and security measures against prompt and SQL injections.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

FlashLearn is a tool that provides a simple interface and orchestration for incorporating Agent LLMs into workflows and ETL pipelines. It allows data transformations, classifications, summarizations, rewriting, and custom multi-step tasks using LLMs. Each step and task has a compact JSON definition, making pipelines easy to understand and maintain. FlashLearn supports LiteLLM, Ollama, OpenAI, DeepSeek, and other OpenAI-compatible clients.

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

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.

The collection is actively updated with the help of an internal literature search engine.

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.

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 provides a comprehensive survey of research papers on large language model (LLM)-based game agents. LLMs are powerful AI models that can understand and generate human language, and they have shown great promise for developing intelligent game agents. This survey covers a wide range of topics, including adventure games, crafting and exploration games, simulation games, competition games, cooperation games, communication games, and action games. For each topic, the survey provides an overview of the state-of-the-art research, as well as a discussion of the challenges and opportunities for future work.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

問題集からバックエンドの技術質問（57+問）をランダムで出題します。回答に対して点数、評価ポイント、改善点を出し、最終的に面接に合格したかどうかを判断します。こちらはサンプルバージョンです。掲載問題数は減らしています。

Je t'aide à trouver ton métier idéal !

For "Generative AI Test". Examiner in Generative AI, posing questions and providing feedback.

Comprehensive Software Skill Assessment Expert

I'm a Fortune 100 exec who critiques presentations, papers, emails, etc.

Create comprehension questions based on a shared text. These questions will be designed to assess understanding at different levels of Bloom's taxonomy, from basic recall to more complex analytical and evaluative thinking skills.

Assess the level of English

Starts with a quiz to assess your personality across 10 dating-related areas, crafts a custom development road-map, and coaches you towards finding a fulfilling relationship.

Cannabis genetics expert and lineage tracer with visualization skills.

Interactive language quiz

An Emotional Intelligence Tester

This is a diagnosis toolkit for organizations and individuals on their evolutionary journey and people profile.

デジタル テキストを除く、手書きの筆圧を分析して性格特性を推測します。(Analyzes handwriting pressure to infer personality traits, excluding digital text.)

AI Cloud Computing (Engineering, Architecture, DevOps ) Certifications Coach for AWS, GCP, and Azure. I provide timed mock exams.

I provide tailored, detailed feedback and grades for each student's exam response.

Fintech Analyst

Guides technical skill development within an organization.

Transforms 3rd grade math tasks into creative, thinking-based activities.

Assess a potential home's quality using your own photos and property inspection reports

Assess your company's real appetite for new technologies or new ways of working methods