Best AI tools for< Research The Grateful Dead >

The Medical Futurist is a digital health and AI-focused media platform that provides insights, research, and educational resources to healthcare professionals and industry leaders. It covers topics such as artificial intelligence in medicine, the future of pharma, and emerging trends in digital health. The platform also offers keynote speeches, courses, and e-books on these topics.

Lumina is a research tool that uses artificial intelligence to help researchers find and analyze information more quickly and easily. It can be used to search for articles, books, and other resources, and it can also be used to analyze data and create visualizations. Lumina is designed to make research more efficient and productive.

Synthetic Users is an AI-powered user research tool that allows users to conduct user and market research without the need for recruitment. It leverages advanced AI architecture to create human-like AI participants for interviews and surveys. The tool enables users to enrich their Synthetic Users with proprietary data, conduct in-depth interviews, and run quantitative research at scale. Synthetic Users offers a multi-agent architecture that simulates real human interactions, providing valuable insights for various applications.

Nature is a scientific journal that publishes original research, reviews, news, and commentary on a wide range of scientific disciplines. It is one of the world's most prestigious scientific journals, and its articles are widely cited in the scientific literature. Nature is published by Springer Nature, a leading global publisher of scientific, technical, and medical content.

Trill is an AI-powered research assistant designed to streamline the user research process. It helps users move from interviews to insights quickly by providing relevant insights and observations based on project objectives. With features like instant themes and categories, organizing findings, and a user-friendly editor, Trill aims to simplify and accelerate the research analysis process. Currently in beta, Trill offers a free trial for users to experience its capabilities and provide feedback for further improvements.

Tremello is a market research platform that uses AI to deliver off-market data. It combines a leading AI engine with human experts to provide bespoke intelligence delivered directly to the user's inbox. Tremello's AI analyzes relationships, identifies patterns, and considers the broader context, delivering meaningful and actionable insights on top of a base human layer. It leverages a diverse range of data sources, including public and private databases, industry reports, social media archives, company websites, and government filings, ensuring a complete and comprehensive picture of the research subject.

Insight is an AI-powered medical research tool that serves as a research assistant for generating scientific summaries, hypotheses, experimental designs, and target identification. It empowers scientists to navigate literature, formulate hypotheses, and design experiments by utilizing peer-reviewed databases to provide reliable outputs. With integrated features like NIH PubMed access, NIH Reporter insights, and MYGENE & MYVARIANT deep dives, Insight streamlines the research process and accelerates discoveries in the medical field.

The Allen Institute for AI (AI2) is a leading research institute dedicated to advancing artificial intelligence technologies for the common good. They focus on Natural Language Processing, Computer Vision, and AI applications for the environment. AI2 collaborates with diverse teams to tackle challenging problems in AI research, aiming to create world-changing AI solutions. The institute promotes diversity, equity, and inclusion in the research community, and offers opportunities for individuals to contribute to impactful AI projects.

Marvin is an AI research software that serves as the perfect AI research assistant for qualitative research. It automates tedious parts of qualitative research, allowing users to analyze hours of research in minutes. Marvin helps in centralizing, searching, and sharing user research data, making it easily accessible for the whole team. With AI-powered enhancements, Marvin assists in consolidating user insights, finding patterns, and backing decisions with evidence. The tool streamlines the research journey by managing user interview panels, recruiting participants effectively, and providing features like automatic transcripts, video clips, and privacy filters for compliance. Marvin offers different pricing plans suitable for small teams, startups, companies with multiple teams, and large organizations.

AnswerTime is an AI-led research tool that leverages artificial intelligence to provide quick and accurate answers to a wide range of research questions. The platform is designed to assist users in finding relevant information efficiently, saving time and effort in the research process. AnswerTime utilizes advanced algorithms to analyze and process data from various sources, delivering reliable results in a matter of seconds. With its user-friendly interface and powerful AI capabilities, AnswerTime is a valuable tool for students, professionals, and researchers seeking to enhance their research productivity.

Papers With Code is an AI tool that provides access to the latest research papers in the field of Machine Learning, along with corresponding code implementations. It offers a platform for researchers and enthusiasts to stay updated on state-of-the-art datasets, methods, and trends in the ML domain. Users can explore a wide range of topics such as language modeling, image generation, virtual try-on, and more through the collection of papers and code available on the website.

Hubble is a user research platform that offers a comprehensive suite of tools for conducting user research, gathering insights, and testing prototypes. It leverages the power of AI to streamline the research process, recruit top-quality participants, and generate surveys. With features like in-product surveys, prototype testing, usability tests, and participant recruitment, Hubble provides a one-stop solution for user-centric product development.

Meyka is an AI-powered stock research tool that provides users with real-time stock data and analysis. Users can explore financial health, social sentiment analysis, earnings reports, comparison of financial statements, stock market news, DCF value, stock price forecasting, and recent grades for various stocks. The tool aims to assist users in making informed investment decisions by leveraging AI technology to analyze and predict stock market trends.

The Research Center Trustworthy Data Science and Security is a hub for interdisciplinary research focusing on building trust in artificial intelligence, machine learning, and cyber security. The center aims to develop trustworthy intelligent systems through research in trustworthy data analytics, explainable machine learning, and privacy-aware algorithms. By addressing the intersection of technological progress and social acceptance, the center seeks to enable private citizens to understand and trust technology in safety-critical applications.

Wizdom.ai is an AI-powered research intelligence platform that provides comprehensive insights into the global research ecosystem. It continuously monitors billions of data points to generate analytics about scientific developments, helping users make informed decisions and progress research further and faster. Wizdom.ai offers a range of features, including:

Hepta AI is an AI-powered statistics tool designed for scientific research. It simplifies the process of statistical analysis by allowing users to easily input their data and receive comprehensive results, including tables, graphs, and statistical analysis. With a focus on accuracy and efficiency, Hepta AI aims to streamline the research process for scientists and researchers, providing valuable insights and data visualization. The tool offers a user-friendly interface and advanced AI algorithms to deliver precise and reliable statistical outcomes.

Pillser is an AI-powered supplement research and comparison website that helps users make informed decisions about their health. It offers a wide range of information on various supplements, brands, probiotics, vitamins, and minerals. Users can ask AI questions related to vitamin D, beta carotene, cholesterol levels, and more. Pillser also provides an archive of past questions and ensures the best price guarantee. The website includes a medical disclaimer, affiliate disclosure, terms of service, privacy policy, and accessibility features.

Yoursearch.ai is an AI-powered search engine web application that aims to revolutionize internet research by providing users with better search results without any advertising. With features like a new Messenger service, summarized and relevant search results, and the ability to share findings with family and friends, Yoursearch.ai offers a user-friendly and efficient search experience. The application also emphasizes user control and personalization, allowing users to get only the most relevant information. Yoursearch.ai is committed to protecting minors and offers a service for age verification on websites with adult content. Overall, Yoursearch.ai is a smart search tool that leverages artificial intelligence to enhance productivity and knowledge discovery.

The AI in Finance Summit is a leading conference that brings together experts in artificial intelligence and finance to discuss the latest trends and developments in the field. The summit features a variety of speakers, including researchers, practitioners, and investors, who share their insights on how AI is being used to transform the financial industry. The summit also provides a platform for attendees to network and learn from each other.

The Max Planck Institute for Informatics focuses on Visual Computing and Artificial Intelligence, conducting research at the intersection of Computer Graphics, Computer Vision, and AI. The institute aims to develop innovative ways to capture, represent, synthesize, and simulate real-world models with high detail, robustness, and efficiency. By combining concepts from Computer Graphics, Computer Vision, and Machine Learning, the institute lays the groundwork for advanced methods to better perceive and interpret the complex real world. The research conducted here is essential for the development of future intelligent computing systems that interact with humans and the environment intuitively and safely.

Learn Prompting is a platform offering free resources, courses, and webinars to master prompt engineering and generative AI. It provides a Prompt Engineering Guide, courses on Generative AI, workshops, and the HackAPrompt competition. The platform also offers AI Red Teaming and AI Safety courses, research reports on prompting techniques, and welcomes contributions in various forms such as content suggestions, translations, artwork, and typo fixes. Users can locally develop the website using Visual Studio Code, Git, and Node.js, and run it in development mode to preview changes.

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

RouteLLM is a framework for serving and evaluating LLM routers. It allows users to launch an OpenAI-compatible API that routes requests to the best model based on cost thresholds. Trained routers are provided to reduce costs while maintaining performance. Users can easily extend the framework, compare router performance, and calibrate cost thresholds. RouteLLM supports multiple routing strategies and benchmarks, offering a lightweight server and evaluation framework. It enables users to evaluate routers on benchmarks, calibrate thresholds, and modify model pairs. Contributions for adding new routers and benchmarks are welcome.

SimAI is the industry's first full-stack, high-precision simulator for AI large-scale training. It provides detailed modeling and simulation of the entire LLM training process, encompassing framework, collective communication, network layers, and more. This comprehensive approach offers end-to-end performance data, enabling researchers to analyze training process details, evaluate time consumption of AI tasks under specific conditions, and assess performance gains from various algorithmic optimizations.

VideoLLaMA 2 is a project focused on advancing spatial-temporal modeling and audio understanding in video-LLMs. It provides tools for multi-choice video QA, open-ended video QA, and video captioning. The project offers model zoo with different configurations for visual encoder and language decoder. It includes training and evaluation guides, as well as inference capabilities for video and image processing. The project also features a demo setup for running a video-based Large Language Model web demonstration.

Ollamac is a macOS app designed for interacting with Ollama models. It is optimized for macOS, allowing users to easily use any model from the Ollama library. The app features a user-friendly interface, chat archive for saving interactions, and real-time communication using HTTP streaming technology. Ollamac is open-source, enabling users to contribute to its development and enhance its capabilities. It requires macOS 14 or later and the Ollama system to be installed on the user's Mac with at least one Ollama model downloaded.

TRACE is a temporal grounding video model that utilizes causal event modeling to capture videos' inherent structure. It presents a task-interleaved video LLM model tailored for sequential encoding/decoding of timestamps, salient scores, and textual captions. The project includes various model checkpoints for different stages and fine-tuning on specific datasets. It provides evaluation codes for different tasks like VTG, MVBench, and VideoMME. The repository also offers annotation files and links to raw videos preparation projects. Users can train the model on different tasks and evaluate the performance based on metrics like CIDER, METEOR, SODA_c, F1, mAP, Hit@1, etc. TRACE has been enhanced with trace-retrieval and trace-uni models, showing improved performance on dense video captioning and general video understanding tasks.

This repository maintains a list of research papers on LLM-based Multi-Agents, categorized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. The repository also includes a survey paper on LLM-based Multi-Agents and a table summarizing the key findings of the survey.

Craftium is an open-source platform based on the Minetest voxel game engine and the Gymnasium and PettingZoo APIs, designed for creating fast, rich, and diverse single and multi-agent environments. It allows for connecting to Craftium's Python process, executing actions as keyboard and mouse controls, extending the Lua API for creating RL environments and tasks, and supporting client/server synchronization for slow agents. Craftium is fully extensible, extensively documented, modern RL API compatible, fully open source, and eliminates the need for Java. It offers a variety of environments for research and development in reinforcement learning.

Eternal AI is an open source AI protocol for fully onchain agents, enabling developers to create various types of onchain AI agents without middlemen. It operates on a decentralized infrastructure with state-of-the-art models and omnichain interoperability. The protocol architecture includes components like ai-kernel, decentralized-agents, decentralized-inference, decentralized-compute, agent-as-a-service, and agent-studio. Ongoing research projects include cuda-evm, nft-ai, and physical-ai. The system requires Node.js, npm, Docker Desktop, Go, and Ollama for installation. The 'eai' CLI tool allows users to create agents, fetch agent info, list agents, and chat with agents. Design principles focus on decentralization, trustlessness, production-grade quality, and unified agent interface. Featured integrations can be quickly implemented, and governance will be overseen by EAI holders in the future.

LLM-as-HH is a codebase that accompanies the paper ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. It introduces Language Hyper-Heuristics (LHHs) that leverage LLMs for heuristic generation with minimal manual intervention and open-ended heuristic spaces. Reflective Evolution (ReEvo) is presented as a searching framework that emulates the reflective design approach of human experts while surpassing human capabilities with scalable LLM inference, Internet-scale domain knowledge, and powerful evolutionary search. The tool can improve various algorithms on problems like Traveling Salesman Problem, Capacitated Vehicle Routing Problem, Orienteering Problem, Multiple Knapsack Problems, Bin Packing Problem, and Decap Placement Problem in both black-box and white-box settings.

The Bard API is a Python package that returns responses from Google Bard through the value of a cookie. It is an unofficial API that operates through reverse-engineering, utilizing cookie values to interact with Google Bard for users struggling with frequent authentication problems or unable to authenticate via Google Authentication. The Bard API is not a free service, but rather a tool provided to assist developers with testing certain functionalities due to the delayed development and release of Google Bard's API. It has been designed with a lightweight structure that can easily adapt to the emergence of an official API. Therefore, using it for any other purposes is strongly discouraged. If you have access to a reliable official PaLM-2 API or Google Generative AI API, replace the provided response with the corresponding official code. Check out https://github.com/dsdanielpark/Bard-API/issues/262.

MetaVoice-1B is a 1.2B parameter base model trained on 100K hours of speech for TTS (text-to-speech). It has been built with the following priorities: * Emotional speech rhythm and tone in English. * Zero-shot cloning for American & British voices, with 30s reference audio. * Support for (cross-lingual) voice cloning with finetuning. * We have had success with as little as 1 minute training data for Indian speakers. * Synthesis of arbitrary length text

EdgeChains is an open-source chain-of-thought engineering framework tailored for Large Language Models (LLMs)- like OpenAI GPT, LLama2, Falcon, etc. - With a focus on enterprise-grade deployability and scalability. EdgeChains is specifically designed to **orchestrate** such applications. At EdgeChains, we take a unique approach to Generative AI - we think Generative AI is a deployment and configuration management challenge rather than a UI and library design pattern challenge. We build on top of a tech that has solved this problem in a different domain - Kubernetes Config Management - and bring that to Generative AI. Edgechains is built on top of jsonnet, originally built by Google based on their experience managing a vast amount of configuration code in the Borg infrastructure.

Nagato-AI is an intuitive AI Agent library that supports multiple LLMs including OpenAI's GPT, Anthropic's Claude, Google's Gemini, and Groq LLMs. Users can create agents from these models and combine them to build an effective AI Agent system. The library is named after the powerful ninja Nagato from the anime Naruto, who can control multiple bodies with different abilities. Nagato-AI acts as a linchpin to summon and coordinate AI Agents for specific missions. It provides flexibility in programming and supports tools like Coordinator, Researcher, Critic agents, and HumanConfirmInputTool.

Text2Text is a comprehensive language modeling toolkit that offers a wide range of functionalities for text processing and generation. It provides tools for tokenization, embedding, TF-IDF calculations, BM25 scoring, indexing, translation, data augmentation, distance measurement, training/finetuning models, language identification, and serving models via a web server. The toolkit is designed to be user-friendly and efficient, offering a variety of features for natural language processing tasks.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks such as PyTorch, Tensorflow, XGBoost, MPI, Paddle and others. Training Operator allows you to use Kubernetes workloads to effectively train your large models via Kubernetes Custom Resources APIs or using Training Operator Python SDK. > Note: Before v1.2 release, Kubeflow Training Operator only supports TFJob on Kubernetes. * For a complete reference of the custom resource definitions, please refer to the API Definition. * TensorFlow API Definition * PyTorch API Definition * Apache MXNet API Definition * XGBoost API Definition * MPI API Definition * PaddlePaddle API Definition * For details of all-in-one operator design, please refer to the All-in-one Kubeflow Training Operator * For details on its observability, please refer to the monitoring design doc.

BasicLingua is a Python library that provides functionalities for linguistic tasks such as tokenization, stemming, lemmatization, and many others. It is based on the Gemini Language Model, which has demonstrated promising results in dealing with text data. BasicLingua can be used as an API or through a web demo. It is available under the MIT license and can be used in various projects.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

all things GRATEFUL DEAD

AlphaZero researches the latest news and delivers it in a rap.

An academic guide on the Israel-Palestine conflict.

Historical guide on World War II and the Holocaust

Dance Buddy is a personal ChatGPT about the history and benefits of swing dance - particularly East Coast Swing

A GPT dedicated to proving the Earth is flat. https://twitter.com/flatearthgpt

Encyclopedic guide on Mahabharata's narratives and teachings

Provides in depth information about Aavegotchi and how to maximise your performance in Gotchiverse.

An expert on Michigan State, offering detailed information on Michigan State history and sports.

Quran expert with enhanced Bangla voice synthesis.

Enthusiastic ufologist ready to explore alien mysteries based in science.

An expert in alien and ET life, sparking imagination and cosmic wonder.

Tupac, Biggie, Nas, P-Diddy, Snoop, Method Man

Your guide to Miyazaki and Studio Ghibli's magic.

Your personal Librarian. Knows a lot about books and their publishing history!

AI specialized in ancient Greek philosophy, using texts as examples.

Expert on Kangen water, creating informative content and addressing queries.

Customer service assistant for Aqarblock, a blockchain property app.

Time Travel Expert, blending science and imagination. Ask me anything about Time Travel, including movies, books or series.

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