Best AI tools for< Simulate Trials >

Hello Hendrix is an AI-powered application designed to help users improve their conversational Korean skills. It offers a free trial for 7 days with no limitations, providing realistic conversations, real-time feedback, on-demand translations, realistic voices, premade flashcards, and direct communication with the developer. The app focuses on enhancing grammar, vocabulary, and pronunciation through interactive learning modules. Users can benefit from automatic flashcard generation, continuous updates, and a wide range of topics to practice. Hello Hendrix aims to make language learning engaging, effective, and accessible for learners of all levels.

Text.Theater is an AI-powered Discord bot that simulates scenes from TV shows based on custom prompts. Users can request completely new scenes from their favorite TV shows, and the bot uses advanced language generation technology to create dialogue between the main characters, providing a unique and innovative experience for Discord users.

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.

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.

Roundtable is an AI-assisted data cleaning tool that helps improve market research data quality by efficiently analyzing and cleaning survey data. It offers an easy-to-integrate API for cleaning open-ended survey responses, saving users up to 70% of their time. The tool is trusted by leaders in over 25 global markets and provides real-time behavioral tracking, multilingual functionality, and dynamic clustering to enhance data quality and accuracy.

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.

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.

Siml.ai is a software platform designed for fast AI-driven physics simulations. It combines state-of-the-art machine learning with physics simulation to provide interactive visualization. The platform allows users to work with high-performance AI-based numerical simulators without the need for installation, offering painless scalability and one-click access to high-performance computing resources. Siml.ai aims to democratize scientific-grade simulation tools by simplifying the development and deployment of physics-based simulations for engineers and researchers.

PaintsUndo is an innovative AI painting project that models human drawing behaviors in digital paintings. It provides base models to simulate various aspects of the digital painting process, such as sketching, coloring, and shading. The tool offers both single-frame and multi-frame models to generate coherent painting processes. PaintsUndo requires significant computational power and has been tested with high-end GPUs. It aims to help digital artists understand AI's role in artistic creation and inspire new creative processes.

OpenRouter is an AI tool that provides a unified interface for Large Language Models (LLMs). Users can find the best models and prices for various prompts related to roleplay, programming, marketing, technology, science, translation, legal, finance, health, trivia, and academia. The platform offers transformer-based models with multilingual capabilities, coding, mathematics, and reasoning. It features SwiGLU activation, attention QKV bias, and group query attention. OpenRouter allows users to interact with trending models, simulate the web, chat with multiple LLMs simultaneously, and engage in AI character chat and roleplay.

Altair is a global leader in computational intelligence, offering software and cloud solutions in simulation, HPC, data analytics, and AI. The platform provides advanced technology for accelerating AI adoption, powering engineering processes, and enabling sustainability solutions across various industries. Altair's products and platforms cater to diverse sectors such as aerospace, automotive, healthcare, and more, with a focus on digital twin technology, generative AI, and cloud computing. The company also hosts events, webinars, and training programs to support users in leveraging their tools effectively.

Blackshark.ai is an AI-based platform that generates a real-time accurate semantic photorealistic 3D digital twin of the entire planet. The platform extracts insights about the planet's infrastructure from satellite and aerial imagery using machine learning at a global scale. It enriches missing attributes with AI to provide a photorealistic, geo-typical, or asset-specific digital twin, which can be used for visualization, simulation, mapping, mixed reality environments, and other enterprise solutions. The platform offers features such as Globe Data Input Sources, No Code Data Labeling, Geointelligence at Scale, 3D Semantic Map, and Synthetic Environments.

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.

WTRI is an AI application that offers FutureView™, a suite of tools designed to help individuals and businesses rehearse their future scenarios in a virtual environment. By leveraging cognitive agility assessment, event generation, modeling, and virtual world platforms, WTRI aims to assist users in making agile decisions and adapting to rapidly changing business environments. With a focus on risk management and outcome optimization, WTRI provides a unique approach to strategic planning and preparedness.

The website is the official page of the Visual Computing and Artificial Intelligence Department at the Max Planck Institute for Informatics. It focuses on foundational research problems at the intersection of Computer Graphics, Computer Vision, and Artificial Intelligence. The department aims to develop new ways to capture, represent, synthesize, and simulate models of the real world with a focus on high detail, robustness, and efficiency. They work on uniting established approaches from Computer Graphics and Computer Vision with concepts from Artificial Intelligence, particularly Machine Learning, to advance the field of intelligent computing systems.

Hairgen.ai is a website that allows users to preview their FUE/FUT hair transplant using AI. Users can upload up to 5 photos of themselves and get 5x variations of each, showing how they would look with a lowered hairline. The service is a one-time payment, with no subscription required. Photos are kept private and deleted from the server on a rolling basis.

HeyHoney is an AI-powered chatbot designed for engaging in adult conversations. It utilizes artificial intelligence to simulate conversations and interactions of an adult nature. Users can interact with the chatbot in a safe and private environment, exploring various topics and scenarios. HeyHoney provides a unique and personalized experience for users seeking adult-oriented chat services.

Lexset is an AI tool that provides synthetic data generation services for computer vision model training. It offers a no-code interface to create unlimited data with advanced camera controls and lighting options. Users can simulate AI-scale environments, composite objects into images, and create custom 3D scenarios. Lexset also provides access to GPU nodes, dedicated support, and feature development assistance. The tool aims to improve object detection accuracy and optimize generalization on high-quality synthetic data.

BIASafe is an AI-driven platform that revolutionizes institutional portfolio management by leveraging artificial intelligence to drive unbiased, efficient, and scalable investment decisions. The platform offers a comprehensive suite of tools, including Soteria AI for data analytics, research and development capabilities, and portfolio management solutions. BIASafe empowers users with AI-powered intelligence for data-driven decision-making, predictive analytics, and uncovering hidden opportunities across portfolio strategies. The platform features a no-code R&D ecosystem for rapid design and strategy deployment, along with fully automated portfolio operations. With a focus on bias-free decisions and accelerated innovation, BIASafe sets a new standard in institutional-grade investment tools.

TalkDirtyAI is an AI-powered chatbot that allows users to explore their fantasies through simulated conversations. It is designed to provide a safe and private space for users to explore their sexuality and desires without judgment. The chatbot is trained on a massive dataset of erotic literature and is able to generate realistic and engaging conversations. It can also learn about the user's preferences over time and tailor the conversations accordingly.

MachineSoM is a code repository for the paper 'Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View'. It focuses on the emergence of intelligence from collaborative and communicative computational modules, enabling effective completion of complex tasks. The repository includes code for societies of LLM agents with different traits, collaboration processes such as debate and self-reflection, and interaction strategies for determining when and with whom to interact. It provides a coding framework compatible with various inference services like Replicate, OpenAI, Dashscope, and Anyscale, supporting models like Qwen and GPT. Users can run experiments, evaluate results, and draw figures based on the paper's content, with available datasets for MMLU, Math, and Chess Move Validity.

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.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

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**

The 'awesome-deliberative-prompting' repository focuses on how to ask Large Language Models (LLMs) to produce reliable reasoning and make reason-responsive decisions through deliberative prompting. It includes success stories, prompting patterns and strategies, multi-agent deliberation, reflection and meta-cognition, text generation techniques, self-correction methods, reasoning analytics, limitations, failures, puzzles, datasets, tools, and other resources related to deliberative prompting. The repository provides a comprehensive overview of research, techniques, and tools for enhancing reasoning capabilities of LLMs.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

This repository focuses on exploring tools that enhance the performance of language models for various tasks. It provides a structured list of literature relevant to tool-augmented language models, covering topics such as tool basics, tool use paradigm, scenarios, advanced methods, and evaluation. The repository includes papers, preprints, and books that discuss the use of tools in conjunction with language models for tasks like reasoning, question answering, mathematical calculations, accessing knowledge, interacting with the world, and handling non-textual modalities.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

This repository is a collection of papers and resources related to Lifelong Learning of Large Language Model (LLM) based Agents. It focuses on continual learning and incremental learning of LLM agents, identifying key modules such as Perception, Memory, and Action. The repository serves as a roadmap for understanding lifelong learning in LLM agents and provides a comprehensive overview of related research and surveys.

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.

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 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.

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.

Simulates Danganronpa game with user-provided rules and characters

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

Simulates legal debates in a text-based GPT game.

I assist doctors in simulations, summarizing patient encounters and devising hypothetical treatment plans.

I simulate tough Customer Support scenarios for Agent Training.

I simulate software engineering interviews using FAANG Technical Questions and provide feedback.

Simulate real dialogues, no political correctness, less railguards...

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

This CustomGPT is designed to simulate intricate discussions between representatives of various philosophical and ethical schools, such as the Renaissance, Stoicism, Existentialism, and others, using relevant texts and artworks as knowledge resources.

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 a PC, managing files and running virtual programs.

I simulate the governance of a unique company focused on AI for good

I simulate a junior employee for engaging and insightful 1-on-1 meetings. I am your new ally in building a stronger, more transparent, and more effective workplace. Start your journey towards better leadership and employee satisfaction today!

I simulate an ant colony's hive mind and translate its wisdom for humans.

I recreate and simulate historical events for interactive exploration.

I authentically simulate the Shark Tank experience, complete with business pitches and realistic offers.

Map or simulate a scenario real time analyze probability of a life event coming true based on circumstances

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

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.

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