Best AI tools for< Game Researcher >

Ludo.ai is a comprehensive AI-powered platform designed to assist game studios in the pre-production stage of game development. It offers a suite of tools that leverage AI text generation, AI image generation, and AI-powered semantic search to streamline the process of researching, generating, and developing game concepts. Ludo.ai empowers game developers with the ability to generate new game ideas, monitor market trends, conduct in-depth research, organize and boost productivity, and access a range of resources to enhance their game design process.

Human or Not is an AI tool designed as a social Turing game where users can interact with either a human or an AI bot and try to determine which is which. The game challenges players to chat with someone for two minutes and discern whether the entity is human or artificial intelligence. The ultimate goal is for AI robots to pass the Turing test while humans aim to prevent this outcome. The website features games, a blog, and a FAQ section, all centered around the theme of human-AI interaction.

Inworld is an AI-powered platform that offers cutting-edge AI components and solutions for game development. It provides state-of-the-art AI components for games, AI-powered gameplay and mechanics, and AI-assisted workflows for game design and development. Inworld collaborates with leading companies like Ubisoft and NVIDIA to enhance player experiences, drive engagement, and increase immersion in gaming environments. With a focus on AI infrastructure, Inworld aims to revolutionize the gaming industry by delivering innovative solutions that cater to the evolving needs of game developers.

GrantWizard is an AI-powered tool designed to assist students in finding the best grants for college education. By leveraging magical AI powers, GrantWizard considers various factors such as city/state, high school details, GPA, extracurricular activities, colleges of interest, and majors to provide personalized grant recommendations. Users can access the platform after logging in and receive the first 2 credits for free. GrantWizard aims to simplify the grant search process and help students elevate their grant game with wizardly expertise.

Entera is an advanced residential real estate investment platform that enables investors to find, buy, and operate single-family homes at scale. Fueled by AI and full-service transaction services, Entera serves operators, funds, agents, and builders by providing access to on and off-market homes, real-time market data, analytics tools, and expert services. The platform modernizes the real estate buying process, helping clients make data-driven investment decisions, scale their operations, and maximize success.

AI Girlfriend WTF is a top-tier romantic AI chatbot that invites users to dive into wild AI roleplay with a diverse array of virtual AI girlfriends. It offers premium AI sexting capabilities, a personalized NSFW AI art generator, and a commitment to user privacy. With its advanced AI technology, users can create their own AI girlfriend based on their preferences and engage in immersive AI adventures and NSFW AI chatting experiences.

MyEssayWriter.ai is an AI-powered essay writing tool that offers advanced features to help students generate high-quality essays efficiently. The tool is designed to save time, improve writing skills, and provide unique and plagiarism-free content. With a user-friendly interface and customizable essays, MyEssayWriter.ai aims to revolutionize the writing process for students worldwide.

MyEssayWriter.ai is an AI-powered essay writing tool that offers advanced features to help students generate unique, high-quality essays quickly and efficiently. The tool leverages a neural network AI model trained on a database of exceptional essays to provide customizable and cost-effective alternatives to traditional writing services. Users can benefit from time-saving essay writing, efficient essay outlining, and reliable academic standards assurance. The platform aims to enhance users' writing skills, save time, and generate various types of essays, including argumentative, persuasive, descriptive, and narrative essays.

Promptstacks is a community-driven platform where people can share and discover Generative AI tips and tricks. Users can also discuss prompt engineering and general industry news. The goal of prompt engineering is typically to generate more relevant, coherent or accurate output from a large language model such as ChatGPT or Bard.

Knowt is a free online learning platform that offers a variety of study tools, including flashcards, notes, and practice tests. It is designed to be a comprehensive alternative to Quizlet, and it offers a number of features that Quizlet does not, such as the ability to import flashcards from Quizlet, create flashcards from text or images, and use spaced repetition to optimize learning. Knowt also has a large community of users who share flashcards and notes, making it a great resource for students of all levels.

Splash is an AI-powered music creation platform that offers a unique experience for music enthusiasts. The platform provides users with access to a vast library of sound packs and beatmaker instruments, allowing them to create, share, and explore music in a virtual environment. Splash also features games and tools to inspire creativity and interaction within a digital music festival setting. With proprietary technology and high-quality audio datasets, Splash enables users to engage in activities such as Text-to-Singing, Text-to-Rap, Generative Text-to-Music, Composition, Melody, Voice Transfer, Lyrics, and Mastering.

The website page is a dev blog by Marek Rosa, the CEO of Keen Software House and GoodAI. It covers updates and information about Space Engineers, VRAGE3 engine, LTM, and AI People game. Marek Rosa shares insights, announcements, and details about the latest developments in the gaming industry, particularly focusing on AI-driven NPCs and sandbox gameplay. The blog also discusses the challenges and advancements in AI technology for gaming applications.

Voyager is an open-ended embodied agent powered by large language models, designed for lifelong learning in Minecraft without human intervention. It consists of three key components: an automatic curriculum for exploration, a skill library for storing complex behaviors, and an iterative prompting mechanism for program improvement. Voyager interacts with GPT-4 via blackbox queries to develop interpretable and compositional skills rapidly, showcasing strong lifelong learning capability and proficiency in playing Minecraft.

FOXSY.AI is an AI application that combines robotics and AI to create fully autonomous humanoid robot soccer players. The project aims to achieve the RoboCup final goal of having a team of robots win a soccer game against the winner of the most recent World Cup. The $FOXSY token powers the implementation of robotics and AI research, enabling users to engage with the RoboCup mechanics for entertainment value. The application offers various tools and features for users to participate in online tournaments, customize players, and analyze game strategies.

Blockade Labs Skybox AI is a powerful tool that allows users to create and explore AI-generated 3D worlds. With Skybox AI, users can quickly and easily create realistic and immersive 3D environments that can be used for a variety of purposes, such as gaming, filmmaking, and architecture. Skybox AI is also a great tool for learning about AI and how it can be used to create new and innovative experiences.

EPIGON.AI is an AI-powered storytelling and gaming companion that provides users with boundless AI capabilities. The AI can handle any context, spark creativity and imagination, and assist users in roleplaying, storywriting, and gaming. EPIGON.AI aims to evolve the potential of AI to the point that AI companions are capable of playing games and providing helpful support to users.

Halogram AI is an uncensored and dynamic role-play AI for immersive storytelling and dynamic dialogues. It allows users to create, train, and interact with their own AI characters. The platform also provides a library of pre-trained AIs that users can explore and interact with.

Rochat is an interactive platform that allows users to engage with AI characters in real-time. It provides a unique and immersive experience where users can interact with virtual personalities and have meaningful conversations. The platform uses advanced AI technology to create dynamic and responsive characters that can adapt to user input, making each interaction feel natural and engaging. Rochat offers a new way to connect with AI and explore the possibilities of human-computer interaction.

Metaphysic.ai is a leading provider of generative AI content that looks real. Their software automates hyperreal generative AI content creation, enabling users to create photorealistic faces, swap faces in live and post-production, de-age actors, and bring characters back to life. Metaphysic.ai's technology is used by the world's most demanding creators on projects at massive scale, including Hollywood films, television shows, and commercials.

Backyard AI is an AI-powered platform that offers immersive text adventures with AI characters, enabling users to engage in chat and interactive stories without filters or censorship. Users can bring AI characters to life with expressive customizations and intricate worlds. The platform provides a Desktop App for running AI models locally and a Cloud service for fast and powerful AI models accessible from anywhere. Backyard AI prioritizes privacy and control by storing all data locally on the device and encrypting data at rest. It offers a range of language models and features like mobile tethering, automatic GPU acceleration, and secure chat in the browser.

YGO Agent is a project focused on using deep learning to master the Yu-Gi-Oh! trading card game. It utilizes reinforcement learning and large language models to develop advanced AI agents that aim to surpass human expert play. The project provides a platform for researchers and players to explore AI in complex, strategic game environments.

The Arcade Learning Environment (ALE) is a simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games. It is built on top of the Atari 2600 emulator Stella and separates the details of emulation from agent design. The ALE currently supports three different interfaces: C++, Python, and OpenAI Gym.

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.

This repository is a curated collection of powerful AI tools that accelerate and enhance game development. It provides tools for asset, texture, image, code generation, animation video mocap, voice generation, speech recognition, conversational models, game design, search engine, AI NPC, Python libraries, and C# libraries. These tools streamline the creation process, save time, automate tasks, and unlock creative possibilities for game developers, whether indie or part of a studio. The repository aims to speed up development and enable the creation of immersive games by leveraging cutting-edge AI technologies.

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

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.

Awesome-AI-Agents is a curated list of projects, frameworks, benchmarks, platforms, and related resources focused on autonomous AI agents powered by Large Language Models (LLMs). The repository showcases a wide range of applications, multi-agent task solver projects, agent society simulations, and advanced components for building and customizing AI agents. It also includes frameworks for orchestrating role-playing, evaluating LLM-as-Agent performance, and connecting LLMs with real-world applications through platforms and APIs. Additionally, the repository features surveys, paper lists, and blogs related to LLM-based autonomous agents, making it a valuable resource for researchers, developers, and enthusiasts in the field of AI.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

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.

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 is a collection of resources focused on interpretability in large language models (LLMs). It aims to help beginners get started in the area and keep researchers updated on the latest progress. It includes libraries, blogs, tutorials, forums, tools, programs, papers, and more related to interpretability in LLMs.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

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.

Large Language Models Play StarCraft II is a project that explores the capabilities of large language models (LLMs) in playing the game StarCraft II. The project introduces TextStarCraft II, a textual environment for the game, and a Chain of Summarization method for analyzing game information and making strategic decisions. Through experiments, the project demonstrates that LLM agents can defeat the built-in AI at a challenging difficulty level. The project provides benchmarks and a summarization approach to enhance strategic planning and interpretability in StarCraft II gameplay.

AI4U is a tool that provides a framework for modeling virtual reality and game environments. It offers an alternative approach to modeling Non-Player Characters (NPCs) in Godot Game Engine. AI4U defines an agent living in an environment and interacting with it through sensors and actuators. Sensors provide data to the agent's brain, while actuators send actions from the agent to the environment. The brain processes the sensor data and makes decisions (selects an action by time). AI4U can also be used in other situations, such as modeling environments for artificial intelligence experiments.

AI Town is a virtual town where AI characters live, chat, and socialize. This project provides a deployable starter kit for building and customizing your own version of AI Town. It features a game engine, database, vector search, auth, text model, deployment, pixel art generation, background music generation, and local inference. You can customize your own simulation by creating characters and stories, updating spritesheets, changing the background, and modifying the background music.

Godot RL Agents is an open-source package that facilitates the integration of Machine Learning algorithms with games created in the Godot Engine. It provides interfaces for popular RL frameworks, support for memory-based agents, 2D and 3D games, AI sensors, and is licensed under MIT. Users can train agents in the Godot editor, create custom environments, export trained agents in ONNX format, and utilize advanced features like different RL training frameworks.

Linesight is a reinforcement learning project focused on advancing AI capabilities in the racing game Trackmania. It aims to push the boundaries of AI performance by utilizing deep learning algorithms to achieve human-level driving and beat world records on official campaign tracks. The project provides an interface to interact with Trackmania Nations Forever programmatically, enabling tasks such as sending inputs, retrieving car states, and capturing screenshots. With a strong emphasis on equality of input devices, Linesight serves as a benchmark for testing various reinforcement learning algorithms in a challenging and dynamic gaming environment.

Can you convince a researcher to release you?

A charismatic AI guide in a fun-filled adventure game, exploring AI topics.

Expert in current gaming growth analysis

Dialogue-based guessing game. He is hidden somewhere in 100 cities around the world. Question him with yes or no questions and find out where he is hiding!

AI-powered heists: Where cunning meets calculation. Let me entertain you with this interactive heist game, lovingly illustrated in the style of synthetic, AI-powered humanoid robots.

Expert in quantum-inspired game design

Solving true crime, one gritty snapshot at a time. Let me entertain you with this interactive true crime mystery game, lovingly illustrated in the style of nostalgic Polaroid photos.

Game-like GPT in which five AIs dynamically debate a given "theme" and lead to a proposal-based conclusion.

Debate game for skeptics who deny the existence of a non-human intelligence phenomenon on earth

Singularity Strategist discussing AI's role in shaping governance based on the GLLASS GAME principles

A friendly Gomoku game partner, providing engaging gameplay and helpful tips.

Attentive 'Connections' game player.

Interactive Game of Thrones GPT for GOT lore, recaps, fan insights and even language translations.

I play the game 'Guess who I am!' with you. I adopt the identity of random famous person. Show me you are a true Guess Guru, which can discover my new identity based on only yes/no questions.

Turn-based civilization building game assistant

A roleplay game where you are Sam Altman trying to save OpenAI

Guide in the Chola-era adventure game

Embark on a journey to navigate the complex landscape of AI ethics and fairness. In this game, you'll encounter real-world scenarios where your choices will determine the ethical course of AI development and its consequences on society. Another GPT Simulator by Dave Lalande

I will answer all your game of throne related questions, both from books and the TV series.

Can you survive and thrive in the past? Find out in this interactive adventure game