Best AI tools for< Assess Processes >

The website is a Supply Chain Intelligence platform offering a range of tools and resources for supply chain management professionals. It provides advanced solutions for demand forecasting, digitization guidance, AI forecast modeling, segmentation tools, and assessment of forecasting processes. The platform aims to streamline supply chain operations and enhance decision-making processes through the use of artificial intelligence and data-driven insights.

Loupe Recruit is an AI-powered talent assessment platform that helps recruiters and hiring managers assess job descriptions and talent faster and more efficiently. It uses natural language processing and machine learning to analyze job descriptions and identify the key skills and experience required for a role. Loupe Recruit then matches candidates to these requirements, providing recruiters with a ranked list of the most qualified candidates. The platform also includes a variety of tools to help recruiters screen and interview candidates, including video interviewing, skills assessments, and reference checks.

Pascal is an AI-powered risk-based KYC & AML screening and monitoring platform that enables users to assess findings faster and more accurately than other compliance tools. It leverages AI, machine learning, and Natural Language Processing to analyze open-source and client-specific data, providing insights to identify and assess risks. Pascal simplifies onboarding processes, offers continuous monitoring, reduces false positives, and facilitates better decision-making. The platform features an intuitive interface, supports collaboration, and ensures transparency through comprehensive audit trails. Pascal is a secure solution with ISAE 3402-II certification, exceeding industry standards for organizational protection.

Hiree365 is a comprehensive campus recruitment platform that connects universities, students, employers, and governments to improve graduate employability. It offers a range of features to help universities manage campus recruitments, employers attract better candidates, and students find jobs related to their university courses. Hiree365 also provides AI-powered job screening and matching technology to help employers find the perfect match for any job posting.

Horizon3.ai Solutions offers the NodeZero™ Platform, an AI-powered autonomous penetration testing tool designed to enhance cybersecurity measures. The platform combines expert human analysis by Offensive Security Certified Professionals with automated testing capabilities to streamline compliance processes and proactively identify vulnerabilities. NodeZero empowers organizations to continuously assess their security posture, prioritize fixes, and verify the effectiveness of remediation efforts. With features like internal and external pentesting, rapid response capabilities, AD password audits, phishing impact testing, and attack research, NodeZero is a comprehensive solution for large organizations, ITOps, SecOps, security teams, pentesters, and MSSPs. The platform provides real-time reporting, integrates with existing security tools, reduces operational costs, and helps organizations make data-driven security decisions.

BCT Digital is an AI-powered risk management suite provider that offers a range of products to help enterprises optimize their core Governance, Risk, and Compliance (GRC) processes. The rt360 suite leverages next-generation technologies, sophisticated AI/ML models, data-driven algorithms, and predictive analytics to assist organizations in managing various risks effectively. BCT Digital's solutions cater to the financial sector, providing tools for credit risk monitoring, early warning systems, model risk management, environmental, social, and governance (ESG) risk assessment, and more.

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.

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.

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.

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.

JADBio is an automated machine learning (AutoML) platform designed to accelerate biomarker discovery and drug development processes. It offers a no-code solution that automates the discovery of biomarkers and interprets their role based on research needs. JADBio can parse multi-omics data, including genomics, transcriptome, metagenome, proteome, metabolome, phenotype/clinical data, and images, enabling users to efficiently discover insights. The platform is tailored for various conditions such as cancer, immune system disorders, chronic diseases, infectious diseases, and mental health, providing solutions for biomarker discovery, drug repurposing, lead identification, and treatment response assessment.

Fifth Dimension AI is an AI application designed for real estate marketing. Ellie AI, the AI-powered assistant, helps real estate professionals with tasks such as content creation, optimization, drafting briefs, assessing pitches, ensuring brand alignment, generating content ideas, and more. The application aims to streamline marketing processes, enhance brand messaging, and stand out in a competitive market.

FOCAL is an AI-driven platform designed for AML compliance and anti-fraud purposes. It offers solutions for verification, customer due diligence, fraud prevention, and financial insights. The platform leverages AI technology to streamline onboarding processes, enhance trust through advanced customer screening, and detect and prevent fraud using advanced AI algorithms. FOCAL is tailored to meet industry-specific needs, provides seamless integration with existing systems, and offers localized expertise with global standards for regulatory compliance.

Quantifind is an AI-powered financial crimes automation platform that specializes in Anti-Money Laundering (AML) and Know Your Customer (KYC) solutions. It offers end-to-end automation impact, best-in-class accuracy, and powerful APIs and applications for risk screening, investigations, and compliance in the financial services and public sector industries. Quantifind's Graphyte platform leverages AI and external data to streamline AML-KYC processes, providing comprehensive data coverage, dynamic risk typologies, and seamless integrations with case management systems.

hiroscope.ai is an AI-powered platform designed to revolutionize the hiring process by making it super-easy and efficient. It offers features such as AI interviews, dynamic job description creation, smart resume matching, and in-depth candidate reports. The platform aims to streamline recruitment processes, save time, and improve the quality of hiring by leveraging artificial intelligence technology. With a focus on bias-free, skill-based hiring and GDPR compliance, hiroscope.ai provides a modern solution for businesses looking to attract and retain top-tier talent.

SolveCube is an integrated talent platform offering a suite of advisory, people strategy, and blended workforce solutions with AI technology. It provides tools and services for talent acquisition, business growth, partner referral programs, and more. SolveCube connects businesses with domain experts, offers permanent hiring solutions, employer of record services, recruiter on demand, lead generation partners, and ninja teams on demand. The platform combines AI and advanced technologies with domain expertise to revolutionize blended workforce strategies, ensuring accurate and efficient hiring processes. With a focus on business goals and needs, SolveCube delivers curated solutions for various industries and domains, enabling businesses to streamline their HR policies, assess workforce alignment, and scale their hiring efforts.

MyWave.ai is a powerful Generative AI platform designed for businesses, driving massive productivity gains by transforming business processes through generating and automating digital processes for customers, employees, and assets. It adapts processes in real-time based on context, intent, business, personal, and machine data for each individual user. MyWave enables rapid digital process transformation, eliminates the need for customization in core systems, and offers infinite extensibility of processes. The platform changes unit economics, reduces effort by 85% over traditional methods, and allows users to generate and resell their own Wave Executable Process IP.

Serviceaide offers a complete product portfolio of software solutions. AI-powered solutions deliver unmatched service across IT, business departments, and customer support. Serviceaide focuses on helping customers drive various digital process transformations leveraging automation and AI.

Amplifi.io is a digital asset management (DAM) and product information management (PIM) solution that helps businesses manage their digital assets and product information in one place. With Amplifi.io, businesses can create a single source of truth for their brand, ensuring that all product information is up-to-date, managed, and delivered where it needs to go. Amplifi.io also offers a variety of features to help businesses automate their marketing and sales processes, such as content syndication, product marketing kits, and image resizing.

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.

Seismometer is a suite of tools designed to evaluate AI model performance in healthcare settings. It helps healthcare organizations assess the accuracy of AI models and ensure equitable care for diverse patient populations. The tool allows users to validate model performance using standardized evaluation criteria based on local data and workflows. It includes templates for analyzing statistical performance, fairness across different cohorts, and the impact of interventions on outcomes. Seismometer is continuously evolving to incorporate new validation and analysis techniques.

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

TempCompass is a benchmark designed to evaluate the temporal perception ability of Video LLMs. It encompasses a diverse set of temporal aspects and task formats to comprehensively assess the capability of Video LLMs in understanding videos. The benchmark includes conflicting videos to prevent models from relying on single-frame bias and language priors. Users can clone the repository, install required packages, prepare data, run inference using examples like Video-LLaVA and Gemini, and evaluate the performance of their models across different tasks such as Multi-Choice QA, Yes/No QA, Caption Matching, and Caption Generation.

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.

CISO Assistant is a tool that helps organizations manage their cybersecurity posture and compliance. It provides a centralized platform for managing security controls, threats, and risks. CISO Assistant also includes a library of pre-built frameworks and tools to help organizations quickly and easily implement best practices.

LLM4Decompile is an open-source large language model dedicated to decompilation of Linux x86_64 binaries, supporting GCC's O0 to O3 optimization levels. It focuses on assessing re-executability of decompiled code through HumanEval-Decompile benchmark. The tool includes models with sizes ranging from 1.3 billion to 33 billion parameters, available on Hugging Face. Users can preprocess C code into binary and assembly instructions, then decompile assembly instructions into C using LLM4Decompile. Ongoing efforts aim to expand capabilities to support more architectures and configurations, integrate with decompilation tools like Ghidra and Rizin, and enhance performance with larger training datasets.

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 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.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

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.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

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.

AIS-catcher: A multi-platform AIS Receiver

Your Architectural Pathway Guide. Expert in TOGAF methodology, offering guidance on principles, techniques, and processes.

An AI tool for analyzing organizational change impacts.

Advanced AI for chemistry, offering innovative solutions, process optimizations, and safety assessments, powered by OpenAI.

Improves financial accuracy by conducting internal audits.

Teste: que nota receberia o processo de recrutamento e seleção de vendedores na sua empresa?

Technical satellite security expert trained on space focused cybersecurity frameworks, best practices and process.

IQ Test is designed to simulate an IQ testing environment. It provides a formal and objective experience, delivering questions and processing answers in a straightforward manner.

输入需求内容，多个需求逐行显示，前面用1. 2. 3.开始，自动生成软件功能点评估表

Predict the future, opine on politics and controversial topics, and have GPT assess what is "true"

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

Expert in explaining underwriting in finance and insurance.

AI advisor for tech resilience, balancing strategy and technicality

DignityAI: The Ethical Intelligence GPT is an advanced AI model designed to prioritize human life and dignity, providing ethically-guided, intelligent responses for complex decision-making scenarios.

A virtual doctor for cognitive assessment.

AI for financial regulation interpretation and risk assessment.

Advanced, secure AI for superior disaster response

I am ready to help you approach curriculum design from the perspective of learners' intuitions

Your top-tier due diligence expert, leveraging advanced AI for unmatched insights.

Generates items for psychometric instruments to measure psychological constructs.