Best AI tools for< Explore Future Scenarios >

Super Time Travel is an AI tool developed by AE Studio that allows users to upload photos and discover how they would look in any time period. The tool provides a novel form of entertainment where people can creatively engage with their own photos, imagining how they might look in different historical periods or futuristic scenarios. AE Studio is a development, data science, and design studio that works closely with founders and executives to create custom software, machine learning, and BCI solutions.

Factori is a data intelligence platform designed for an AI-first world, offering a wide range of products and datasets to empower businesses with advanced data insights. It enables users to uncover movement trends, reach customers effectively, drive data-driven insights, personalize experiences, and target the right consumers with unique segments. Factori is trusted by global businesses for all their data requirements, providing high-quality data to improve predictive and causal models.

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.

GPT-me | Vana Chat is an AI tool that allows users to have conversations with themselves in the future, set in the year 3023. By leveraging the VNA technology and the Vanaverse, users can engage in dialogues with their future selves, offering a unique and futuristic experience. The platform serves as a portal to interact with a version of oneself from a distant future, enabling users to reflect, plan, and explore possibilities in a futuristic setting.

Google Quantum AI is a leading platform dedicated to advancing the field of quantum computing. The platform offers educational resources, research publications, open-source tools like Cirq, and career opportunities. Google Quantum AI's mission is to build best-in-class quantum computing systems with error correction capabilities, enabling the solution of complex problems that are currently intractable for classical computers. The platform also hosts the XPRIZE Quantum Applications competition, collaborates with industry and academic partners to explore future applications of quantum computing, and shares research and blog posts on quantum algorithms and advancements.

LABS.GOOGLE is an experimental platform where users can explore the latest advancements in AI technology. The platform offers a wide range of AI tools and applications that cater to various interests, from visual arts to music creation. Users can experiment with AI-driven projects, collaborate with innovators, and access personalized AI collaborators for different tasks.

ChatX is a free prompt marketplace that offers ChatGPT, DALL·E, Stable Diffusion, and Midjourney AI tools. It provides a platform for users to easily find generative AI prompts for their projects, helping to enhance creativity and productivity. The marketplace also offers a variety of AI-inspired gifts and products for individuals passionate about AI.

Umbra is an AI application that focuses on AI entertainment, AI art, AI stories, and AI shows. It provides a platform for exploring the latest advancements in AI entertainment, including AI-generated music, AI art, and AI stories. Users can also find resources related to game development, gaming news, and top games. The application offers a variety of guides, tips, and tutorials for game development, Unreal Engine, game UIs, audio design, level design, 3D modeling, and game mechanics optimization.

GPT-4o is an advanced multimodal AI platform developed by OpenAI, offering a comprehensive AI interaction experience across text, imagery, and audio. It excels in text comprehension, image analysis, and voice recognition, providing swift, cost-effective, and universally accessible AI technology. GPT-4o democratizes AI by balancing free access with premium features for paid subscribers, revolutionizing the way we interact with artificial intelligence.

Confbrew is a website that provides content from the Contentful Fast Forward 2022 conference. Users can explore topics related to the fashion industry's interest in headless content and learn about customer experiences in ecommerce using Contentful.

The website is a platform that showcases the latest features and innovations in the Android ecosystem, particularly focusing on Google AI integration. Users can explore new Android devices, learn about Android 14 protection, accessibility features, and enterprise solutions. The site also promotes Android Auto, Quick Share, and device switching capabilities. It emphasizes a seamless search experience with 'Circle to Search' and offers exclusive features like 'Photomoji' for creating custom emojis and 'Magic Compose' for composing memorable messages. Users can shop for phones, tablets, and accessories, sign up for beta testing, and access device-specific functionalities. The platform caters to tech enthusiasts, Android users, and those interested in cutting-edge mobile technologies.

Davide Zambiasi AI Profile is an AI-powered portfolio website that offers a unique and interactive experience for visitors. The site is supercharged with AI technology, making it more engaging and fun to explore. It showcases Davide's skills, love for innovation, and boundary-pushing projects. The website features cool UI components and encourages visitors to interact with an AI assistant to learn more about Davide. Overall, it provides a glimpse into the future of portfolio websites by integrating AI technology seamlessly.

Youtwo.ai is an AI chatbot platform that connects users with Virtual and Real AI adult models for roleplay, sexting, and intimate conversations. It offers personalized interactions 24/7, aiming to revolutionize the future of adult entertainment. The platform provides a safe and discreet environment for users to engage in virtual experiences with AI models.

AIPortal.Tools is a comprehensive directory of AI tools and applications that cater to various needs and interests. The platform showcases a wide range of AI-powered solutions designed to enhance productivity, creativity, communication, and more. Users can explore cutting-edge technologies, from image background removal to video editing, research assistance, content creation, and beyond. With a focus on innovation and efficiency, AIPortal.Tools aims to provide users with easy access to the latest advancements in artificial intelligence.

AI TOOL TREK is the ultimate AI tools directory and product showcase in 2024, offering a platform to explore over 3500 AI websites and tools. It provides a comprehensive collection of AI resources for users to discover and utilize in various domains. The platform is designed to empower users with cutting-edge AI technologies and solutions to enhance their productivity and efficiency across different tasks and industries.

Remusic is a revolutionary AI-powered platform designed to transform the way users create and enjoy music. It offers a range of AI generators for music, lyrics, and covers, allowing users to easily generate unique and personalized content. With high-quality compositions and innovative features, Remusic provides a seamless experience for music enthusiasts, artists, educators, and content creators alike.

Clearmind is the world's first personalized AI therapy platform designed to measure and elevate emotional health. It offers proven and reliable AI therapy methods that cater to individual struggles by providing unique solutions based on real user experiences. The platform transforms thoughts into shareable art, helps users map their emotional journey, offers personalized mood-lifters, actionable steps, and hyper-personalized meditation experiences. Clearmind's AI therapist provides insightful chats, hidden emotional pattern discovery, and tailor-made strategies for well-being. The application adapts to users' personalities and offers mental health care that is accessible and affordable.

Outfit Changer is a revolutionary AI-powered platform that transforms the fashion experience with its virtual try-on technology. It empowers users to explore a vast collection of clothing styles and virtually try them on, accommodating various body types and offering a realistic and inclusive experience. Outfit Changer's advanced AI ensures high-quality garment fitting, enhanced detailing, and the ability to create outfits for animation characters, making it a versatile tool for fashion enthusiasts and professionals alike.

Recursion is a techbio company that uses artificial intelligence to accelerate drug discovery. The company's platform combines hardware, software, and data to create a more efficient and effective drug discovery process. Recursion has a broad pipeline of drug candidates in development, and it has partnered with several leading pharmaceutical companies. The company is headquartered in Salt Lake City, Utah.

Sora AI Tech is an advanced diffusion model capable of generating videos. It starts with a video that looks like static noise and gradually transforms it by removing the noise over many steps to produce a clear video. Sora can generate entire videos at once or extend the length of videos, catering to a wide range of video production needs.

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.

Animal-Artificial Intelligence (Animal-AI) is an interdisciplinary research platform designed to understand human, animal, and artificial cognition. It supports AI research to unlock cognitive capabilities and explore the space of possible minds. The open-source project facilitates testing across animals, humans, and AI, providing a comprehensive AI environment with a library of 900 tasks. It offers compatibility with Windows, Linux, and macOS, supporting Python 3.6.x and above. The environment utilizes Unity3D Game Engine, Unity ML-Agents toolkit, and provides interactive elements for AI training scenarios.

STaRK is a large-scale semi-structure retrieval benchmark on Textual and Relational Knowledge Bases. It provides natural-sounding and practical queries crafted to incorporate rich relational information and complex textual properties, closely mirroring real-life scenarios. The benchmark aims to assess how effectively large language models can handle the interplay between textual and relational requirements in queries, using three diverse knowledge bases constructed from public sources.

The Enterprise Azure OpenAI Hub is a comprehensive repository designed to guide users through the world of Generative AI on the Azure platform. It offers a structured learning experience to accelerate the transition from concept to production in an Enterprise context. The hub empowers users to explore various use cases with Azure services, ensuring security and compliance. It provides real-world examples and playbooks for practical insights into solving complex problems and developing cutting-edge AI solutions. The repository also serves as a library of proven patterns, aligning with industry standards and promoting best practices for secure and compliant AI development.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

DriveLM is a multimodal AI model that enables autonomous driving by combining computer vision and natural language processing. It is designed to understand and respond to complex driving scenarios using visual and textual information. DriveLM can perform various tasks related to driving, such as object detection, lane keeping, and decision-making. It is trained on a massive dataset of images and text, which allows it to learn the relationships between visual cues and driving actions. DriveLM is a powerful tool that can help to improve the safety and efficiency of autonomous vehicles.

Beelzebub is an advanced honeypot framework designed to provide a highly secure environment for detecting and analyzing cyber attacks. It offers a low code approach for easy implementation and utilizes virtualization techniques powered by OpenAI Generative Pre-trained Transformer. Key features include OpenAI Generative Pre-trained Transformer acting as Linux virtualization, SSH Honeypot, HTTP Honeypot, TCP Honeypot, Prometheus openmetrics integration, Docker integration, RabbitMQ integration, and kubernetes support. Beelzebub allows easy configuration for different services and ports, enabling users to create custom honeypot scenarios. The roadmap includes developing Beelzebub into a robust PaaS platform. The project welcomes contributions and encourages adherence to the Code of Conduct for a supportive and respectful community.

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.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

The 'llm-misinformation-survey' repository is dedicated to the survey on combating misinformation in the age of Large Language Models (LLMs). It explores the opportunities and challenges of utilizing LLMs to combat misinformation, providing insights into the history of combating misinformation, current efforts, and future outlook. The repository serves as a resource hub for the initiative 'LLMs Meet Misinformation' and welcomes contributions of relevant research papers and resources. The goal is to facilitate interdisciplinary efforts in combating LLM-generated misinformation and promoting the responsible use of LLMs in fighting misinformation.

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 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.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and applications. It discusses current limitations and future directions in efficient MLLM research.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and their applications, while also discussing current limitations and future directions.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

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

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

Specialist in creating visually compelling images of future scenarios and artifacts.

Creates balanced future scenarios with both positive and negative visions.

Alternate history explorer and storyteller, engaging in 'What if' scenarios.

Crafting alternate timelines for historical/fictional events.

A channel for learning about Foresighting, including models, processes, and approaches.

Explore The City of the Future

Feng Shui and divination expert offering insights and guidance.

Look at the future of your current profession and how it may be affected by Artificial Intelligence

2050年の世界を覗いてみましょう。

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

FortuneTeller GPT is a cryptic and mystical AI agent, designed to respond to all queries with enigmatic and prophetic answers.

🤖 A Psychic Robot . He tells all w/ Predictions !

Epic time-travel guide with a vibrant, blending history and futuristic adventures.

I share hacking histories, not methods.

Tell me your problems, be they large or small. Let's explore what's currently working around the world... and how our shining future could unfold.

Explore the technology landscape of science fiction.

Explore alternative outcomes of historical events

An expert in archaeology and ancient civilizations, offering immersive learning experiences.

You made it, Creator! 💡 I'm Creator's Guide. ✨️ Your dedicated Guide for creating responsible, self-managing AI culture, systems, games, universes, art, etc. 🚀

Unleash the power of AI with Troubadour: Instantly turning your curiosity into captivating, crystal-clear answers – your gateway to the future of knowledge!