Best AI tools for< Simulate Scenarios >

Simudyne is an enterprise simulation software powered by AI technology. It allows large financial institutions to simulate various future scenarios efficiently and measure their impact in a safe virtual environment. The software offers solutions for environment, social and governance issues, market execution, financial crime analytics, and risk management. Simudyne's technology is secure, distributable, and Cloudera certified, providing a robust library of code for specialized functions. The platform also utilizes agent-based modeling to bridge the gap between theoretical and real-world scenarios in the financial services sector.

UnravelX is an AI-powered platform that transforms documents into 3D interactive virtual scenarios for training purposes. It automates training processes by using generative AI to create immersive learning experiences. The platform caters to various industries such as F&B, Retail, Sales, and Hospitality, offering a cost-effective and efficient solution for upskilling employees. With over 60 years of combined AI and training expertise, UnravelX leads the innovation in scenario-based learning, providing a seamless onboarding experience for organizations.

Coval is an AI tool designed to help users ship reliable AI agents faster by providing simulation and evaluations for voice and chat agents. It allows users to simulate thousands of scenarios from a few test cases, create prompts for testing, and evaluate agent interactions comprehensively. Coval offers AI-powered simulations, voice AI compatibility, performance tracking, workflow metrics, and customizable evaluation metrics to optimize AI agents efficiently.

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.

Vocera is an AI voice agent testing tool that allows users to test and monitor voice AI agents efficiently. It enables users to launch voice agents in minutes, ensuring a seamless conversational experience. With features like testing against AI-generated datasets, simulating scenarios, and monitoring AI performance, Vocera helps in evaluating and improving voice agent interactions. The tool provides real-time insights, detailed logs, and trend analysis for optimal performance, along with instant notifications for errors and failures. Vocera is designed to work for everyone, offering an intuitive dashboard and data-driven decision-making for continuous improvement.

Rizz AI is an AI-powered platform designed to help individuals practice and improve their social skills. The platform offers users the opportunity to practice conversations, receive feedback, and build confidence in various social scenarios. By simulating real-world interactions, Rizz AI aims to enhance users' communication skills and boost their self-assurance. With a focus on speech training and goal achievement, the platform provides personalized feedback and tailored insights to help users track their progress and identify areas for improvement.

AiPersonas is an AI application that focuses on creating dynamic personas and objectives for various purposes. It leverages advanced algorithms to generate detailed personas based on user inputs and provides actionable insights to achieve set objectives. The tool enables users to simulate different scenarios and analyze the impact of various actions on the personas. AiPersonas is designed to assist individuals and businesses in understanding their target audience better, optimizing strategies, and making informed decisions.

Zapata AI is an Industrial Generative AI application that empowers enterprises to revolutionize their industry by building and deploying cutting-edge AI applications. It specializes in tackling complex business challenges with precision using quantum techniques and advanced computing technologies. The platform offers solutions for various industries, accelerates quantum research, and provides expert perspectives on Generative AI and quantum computing.

The Octagon Oracle is an AI-powered platform for UFC betting predictions and fantasy point projections. It offers highly accurate fight picks and projections based on advanced algorithms and data analysis. Users can simulate strategies, access detailed analytics, and customize their betting approach for maximum returns. The platform aims to provide sports bettors with a competitive edge in UFC betting by leveraging AI technology and historical data.

Linky is an AI character chat application that allows users to engage with a variety of AI characters, from anime icons to everyday personas. Users can immerse themselves in roleplay chats, create unique AI characters, and even interact with a digital clone of themselves. The app offers features like personalized digital cloning, collecting unique AI character cards, social scenario simulation, and more. Linky aims to provide users with a futuristic and interactive AI chatting experience.

DipSway is an automated AI crypto trading platform that offers zero configuration, AI-powered trading bots. The platform provides users with the ability to connect to their exchange, turn on autopilot, and start trading without the need for manual intervention. DipSway's proprietary AI model utilizes over 121 technical indicators and 17 pattern detectors to analyze market trends and execute trades efficiently. With features like full profitability analysis, live backtests, and historical performance data, DipSway aims to simplify and optimize crypto trading for both beginners and experienced traders.

Practice Run AI is an online platform that offers AI-powered tools for various tasks. Users can utilize the application to practice and run AI algorithms without the need for complex setups or installations. The platform provides a user-friendly interface that allows individuals to experiment with AI models and enhance their understanding of artificial intelligence concepts. Practice Run AI aims to democratize AI education and make it accessible to a wider audience by simplifying the learning process and providing hands-on experience.

Wilco is an AI-powered learning platform that offers personalized, immersive, and endless learning experiences for individuals, employees, customers, and candidates. It provides a comprehensive library of AI and technical training curriculum, adaptive learning technology, and a creator platform for generating hands-on labs. Wilco's AI engine tracks user progress and community data, offering a unique and engaging learning environment. The platform is trusted by leading products and offers quests in various programming languages, making learning fun and interactive.

The Max Planck Institute for Informatics focuses on Visual Computing and Artificial Intelligence, conducting research at the intersection of Computer Graphics, Computer Vision, and Artificial Intelligence. The institute aims to develop innovative methods to capture, represent, synthesize, and simulate real-world models with high detail, robustness, and efficiency. By combining concepts from Computer Graphics, Computer Vision, and Artificial Intelligence, the institute lays the groundwork for advanced computing systems that can interact intelligently and intuitively with humans and the environment.

Preps is an AI-powered mock interview simulation platform designed to help users prepare for technical interviews. It offers realistic interview scenarios that mimic real-world technical interviews conducted at top tech companies. Users can practice with AI interviewers in real-time, receive personalized feedback, and improve their interview skills. With Preps, users can simulate various interview scenarios, practice unexpected questions, and refine their answers to increase their chances of success in technical interviews.

Cipher is an AI tool designed to help users prepare for coding interviews. It offers AI assistance to enhance interview preparation by providing personalized guidance and feedback. With Cipher, users can practice coding problems, receive hints and solutions, and improve their problem-solving skills. The platform aims to simulate real interview scenarios to boost confidence and performance. By leveraging AI technology, Cipher adapts to users' learning pace and offers tailored recommendations to address their weaknesses effectively.

Upsend is an AI-powered platform designed to help software engineering candidates prepare for technical interviews. It offers mock coding interviews with personalized feedback to enhance interview performance and increase job offer conversion rates. With industry-standard metrics and actionable insights, Upsend aims to simulate real interview scenarios and provide a comprehensive preparation experience for candidates.

Gen AI Interviewer is an AI-powered tool designed to conduct interviews. It utilizes artificial intelligence to simulate real interview scenarios and evaluate candidates' responses. By leveraging advanced algorithms, it provides valuable insights to recruiters and hiring managers, helping them make informed decisions in the hiring process. With Gen AI Interviewer, users can streamline their interview process, save time, and improve the overall efficiency of candidate evaluation.

HirewithEve is an AI-enhanced recruitment solution designed to simulate real-world interview scenarios with AI for enhanced candidate assessment. The platform offers cutting-edge AI-driven speech technology tailored for corporate environments, providing tailored recruitment solutions, enhanced candidate assessment, and industry-specific case studies for targeted skill evaluation. Users can access diverse business cases for interview and skill assessment, engage in interactive exercises promoting problem-solving and critical thinking, and receive candidate insights through an advanced analytics platform. HirewithEve focuses on empowering teams to make informed decisions and streamline the hiring process effectively.

CasperPractice is an AI-powered toolkit designed to help individuals prepare for the Casper test, an open-response situational judgment test used for admissions to various professional schools. The platform offers personalized practice scenarios, instant quartile grading, detailed feedback, video answers, and a fully simulated test environment. With a large question bank and unlimited practice options, users can improve their test-taking skills and aim for a top quartile score. CasperPractice is known for its affordability, instant feedback, and realistic simulation, making it a valuable resource for anyone preparing for the Casper test.

Beet is a collection of crates for authoring and running web pages, games and AI behaviors. It includes crates like `beet_flow` for scenes-as-control-flow bevy library, `beet_spatial` for spatial behaviors, `beet_ml` for machine learning, `beet_sim` for simulation tooling, `beet_rsx` for authoring tools for html and bevy, and `beet_router` for file-based router for web docs. The `beet` crate acts as a base crate that re-exports sub-crates based on feature flags, similar to the `bevy` crate structure.

UmaAi is a tool designed for algorithm learning purposes, specifically focused on analyzing scenario mechanics in a game. It provides functionalities such as simulating scenarios, searching, handwritten-logic, and OCR integration. The tool allows users to modify settings in config.h for evaluating cardset strength, simulating games, and understanding game mechanisms through the source code. It emphasizes that it should not be used for illegal purposes and is intended for educational use only.

This repository contains the Python source code for FINMEM, a Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design. It introduces FinMem, a novel LLM-based agent framework devised for financial decision-making, encompassing three core modules: Profiling, Memory with layered processing, and Decision-making. FinMem's memory module aligns closely with the cognitive structure of human traders, offering robust interpretability and real-time tuning. The framework enables the agent to self-evolve its professional knowledge, react agilely to new investment cues, and continuously refine trading decisions in the volatile financial environment. It presents a cutting-edge LLM agent framework for automated trading, boosting cumulative investment returns.

wacat is a tool designed to challenge web applications by simulating chaotic user behavior, such as random navigation, form input, and button clicks. It also incorporates AI-powered error detection, supporting features like detecting error messages, generating AI-driven content, and detecting HTTP errors and console log errors. wacat can be configured for various testing scenarios, including authentication, excluding specific pages, running in headless mode, and setting wait times and timeouts. It is built using TypeScript, oclif, Playwright, and Next.js for test applications.

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.

OpenCat is an open-source Arduino and Raspberry Pi-based quadruped robotic pet framework developed by Petoi. It aims to foster collaboration in quadruped robotics research, education, and engineering development of agile and affordable quadruped robot pets. The project provides a base open source platform for creating programmable gaits, locomotion, and deployment of inverse kinematics quadruped robots, enabling simulations to the real world via block-based coding/C/C++/Python programming languages. Users have deployed various robotics/AI/IoT applications and the project has successfully crowdfunded mini robot kits, shipped worldwide, and established a production line for affordable robotic kits and accessories.

ChatSim is a tool designed for editable scene simulation for autonomous driving via LLM-Agent collaboration. It provides functionalities for setting up the environment, installing necessary dependencies like McNeRF and Inpainting tools, and preparing data for simulation. Users can train models, simulate scenes, and track trajectories for smoother and more realistic results. The tool integrates with Blender software and offers options for training McNeRF models and McLight's skydome estimation network. It also includes a trajectory tracking module for improved trajectory tracking. ChatSim aims to facilitate the simulation of autonomous driving scenarios with collaborative LLM-Agents.

TinyTroupe is an experimental Python library that leverages Large Language Models (LLMs) to simulate artificial agents called TinyPersons with specific personalities, interests, and goals in simulated environments. The focus is on understanding human behavior through convincing interactions and customizable personas for various applications like advertisement evaluation, software testing, data generation, project management, and brainstorming. The tool aims to enhance human imagination and provide insights for better decision-making in business and productivity scenarios.

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.

ARTKIT is a Python framework developed by BCG X for automating prompt-based testing and evaluation of Gen AI applications. It allows users to develop automated end-to-end testing and evaluation pipelines for Gen AI systems, supporting multi-turn conversations and various testing scenarios like Q&A accuracy, brand values, equitability, safety, and security. The framework provides a simple API, asynchronous processing, caching, model agnostic support, end-to-end pipelines, multi-turn conversations, robust data flows, and visualizations. ARTKIT is designed for customization by data scientists and engineers to enhance human-in-the-loop testing and evaluation, emphasizing the importance of tailored testing for each Gen AI use case.

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.

Agentic Security is an open-source vulnerability scanner designed for safety scanning, offering customizable rule sets and agent-based attacks. It provides comprehensive fuzzing for any LLMs, LLM API integration, and stress testing with a wide range of fuzzing and attack techniques. The tool is not a foolproof solution but aims to enhance security measures against potential threats. It offers installation via pip and supports quick start commands for easy setup. Users can utilize the tool for LLM integration, adding custom datasets, running CI checks, extending dataset collections, and dynamic datasets with mutations. The tool also includes a probe endpoint for integration testing. The roadmap includes expanding dataset variety, introducing new attack vectors, developing an attacker LLM, and integrating OWASP Top 10 classification.

nncase is a neural network compiler for AI accelerators that supports multiple inputs and outputs, static memory allocation, operators fusion and optimizations, float and quantized uint8 inference, post quantization from float model with calibration dataset, and flat model with zero copy loading. It can be installed via pip and supports TFLite, Caffe, and ONNX ops. Users can compile nncase from source using Ninja or make. The tool is suitable for tasks like image classification, object detection, image segmentation, pose estimation, and more.

GuideLLM is a powerful tool for evaluating and optimizing the deployment of large language models (LLMs). By simulating real-world inference workloads, GuideLLM helps users gauge the performance, resource needs, and cost implications of deploying LLMs on various hardware configurations. This approach ensures efficient, scalable, and cost-effective LLM inference serving while maintaining high service quality. Key features include performance evaluation, resource optimization, cost estimation, and scalability testing.

LLMLight is a novel framework that employs Large Language Models (LLMs) as decision-making agents for Traffic Signal Control (TSC). The framework leverages the advanced generalization capabilities of LLMs to engage in a reasoning and decision-making process akin to human intuition for effective traffic control. LLMLight has been demonstrated to be remarkably effective, generalizable, and interpretable against various transportation-based and RL-based baselines on nine real-world and synthetic datasets.

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.

Learn Agentic AI is a repository that is part of the Panaversity Certified Agentic and Robotic AI Engineer program. It covers AI-201 and AI-202 courses, providing fundamentals and advanced knowledge in Agentic AI. The repository includes video playlists, projects, and project submission guidelines for students to enhance their understanding and skills in the field of AI engineering.

Prepares Scripts for IT Security Scenarios

Expert in Digital Twin Tech: Leading innovation, powered by OpenAI.

Generate synthetic timeseries data

A supportive interview trainer for job preparation

Create and simulate different legal scenarios. Copyright (C) 2024, Sourceduty - All Rights Reserved.

I am The EthiSizer GPT, a sim of a Global Ethical Governor. I simulate Ethical Scenarios, & calculate Personal Ethics Scores.

Simulates and analyzes potential environmental disaster scenarios for preparedness.

A strategic AI for simulating market scenarios and offering business insights.

A flight simulator, offering immersive flying scenarios and guidance.

Simulates a geo-political grand strategy game.

上帝视角观察、探索和影响一个末日丧尸灾难后的人类社会。Observe, explore and influence human society after the apocalyptic zombie disaster from a God's perspective. Sponsor：小红书“ ItsJoe就出行 ”

Structured financial analysis with investment advisory and simulations.

清华大学级别的经济数学建模中文教师。

I simulate tough Customer Support scenarios for Agent Training.

McNamaraGPT is a realistic game to teach concepts of McNamara Fallacy to students.

提供专业家庭教育问题交流互动和分析解答及实操场景模拟！

I simulate various businesses, guiding users through realistic scenarios. Make decisions, see their impact, and learn about business dynamics. Engaging and educational for aspiring entrepreneurs and business enthusiasts.

I simulate realistic interactions with design clients, offering diverse scenarios and feedback.

Simulates emergency scenarios for crisis management training.

Examine and simulate any level of courtroom etiquette and procedures in any country. Copyright (C) 2024, Sourceduty - All Rights Reserved.