Best AI tools for< Research The Benefits Of Kangen Water >

Hubble is an all-in-one user research software that provides tools for continuous discovery. It offers a wide range of features such as in-product research, contextual surveys, user targeting, prototype tests, usability tests, and more. Hubble empowers product teams to collect valuable insights from users to build better products. The platform also includes resources like guides, templates, demo videos, and customer stories to help users maximize the benefits of user research.

SurveyMonkey is a popular free online survey tool that offers a wide range of features to help users create, distribute, and analyze surveys. With integrations, customizable forms, AI-powered survey creation, and market research solutions, SurveyMonkey caters to various industries and roles. It provides templates for different use cases like customer satisfaction, employee feedback, and event registration. The platform also offers resources, blog posts, and customer success stories to guide users in maximizing the benefits of survey data.

Seo Juice is an automated AI SEO tool that generates internal links for websites fully automated with AI technology. It is designed for busy individuals who want to improve their SEO without the hassle of manual keyword research. By simply adding your domain, Seo Juice crawls your sitemap and inserts links into your webpage using a simple JS snippet. The tool offers easy integration, privacy-driven internal reporting, and simple pricing suitable for businesses of all sizes. With Seo Juice, users can enjoy the benefits of automated SEO and save time on manual link building tasks.

The Intelligence Age website explores the advancements and implications of artificial intelligence in shaping the future of humanity. It discusses how AI can enhance human capabilities, solve complex problems, and lead to shared prosperity. The site delves into the history of technological progress, the potential of deep learning algorithms, and the transformative impact of AI on various aspects of society, such as healthcare, education, and scientific research. It emphasizes the need for responsible AI development to maximize benefits and mitigate risks in the Intelligence Age.

RapidAI Research Institute is an academic institution under the RapidAI open-source organization, a non-enterprise academic institution. It serves as a platform for academic research and collaboration, providing opportunities for aspiring researchers to publish papers and engage in scholarly activities. The institute offers mentorship programs and benefits for members, including access to resources such as internet connectivity, GPU configurations, and storage space. The management team consists of esteemed professionals in the field, ensuring a conducive environment for academic growth and development.

Epoch AI is a research institute dedicated to investigating key trends and questions that will shape the trajectory and governance of AI. They provide essential insights for policymakers, conduct rigorous analysis of trends in AI and machine learning, and produce reports, papers, models, and visualizations to advance evidence-based discussions about AI. Epoch AI collaborates with stakeholders and collects key data on machine learning models to analyze historical and contemporary progress in AI. They are known for their thoughtful and best-researched survey work in the industry.

The Association for the Advancement of Artificial Intelligence (AAAI) is a scientific society dedicated to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. AAAI's mission is to promote research in AI and to promote the use of AI technology for the benefit of humanity.

Google AI is a research and development laboratory focused on advancing the state-of-the-art in artificial intelligence. The company's mission is to develop AI that is beneficial to humanity, and its research focuses on a wide range of topics, including machine learning, computer vision, natural language processing, and robotics. Google AI has developed a number of products and services that use AI, including the Google Assistant, Google Translate, and Gmail's spam filter. The company is also working on developing new AI applications for healthcare, transportation, and other industries.

Stanford HAI is a research institute at Stanford University dedicated to advancing AI research, education, and policy to improve the human condition. The institute brings together researchers from a variety of disciplines to work on a wide range of AI-related projects, including developing new AI algorithms, studying the ethical and societal implications of AI, and creating educational programs to train the next generation of AI leaders. Stanford HAI is committed to developing human-centered AI technologies and applications that benefit all of humanity.

Google DeepMind is an AI research company that aims to develop artificial intelligence technologies to benefit the world. They focus on creating next-generation AI systems to solve complex scientific and engineering challenges. Their models like Gemini, Veo, Imagen 3, SynthID, and AlphaFold are at the forefront of AI innovation. DeepMind also emphasizes responsibility, safety, education, and career opportunities in the field of AI.

aiPDF is an AI-powered PDF chat application that allows users to summarize, get insights from, and chat with any type of file. It stands out as a fun and user-friendly tool for various document-related tasks, offering detailed references and instant answers through advanced AI technology. Users can upload a wide range of documents, from financial reports to academic essays, and benefit from the tool's diverse features. aiPDF ensures data security and provides a purely dollar-free experience, making it a reliable and enjoyable platform for document management.

fal.ai is a generative media platform designed for developers to build the next generation of creativity. It offers lightning-fast inference and access to high-quality generative media models optimized by the fal Inference Engine™. Developers can fine-tune their own models, leverage the fastest AI inference engine for diffusion models, and benefit from the expertise of Fal's head of AI research, Simo Ryu, in implementing LoRAs for diffusion models. The platform provides a world-class developer experience and cost-effective scalability, allowing users to pay only for the computing power they consume.

Google DeepMind is an AI tool developed by Google with a mission to build AI responsibly to benefit humanity. The platform offers various AI technologies such as Gemini, AlphaFold, Imagen, Veo, and more, to address complex challenges across different domains. Google DeepMind focuses on research, education, and career development in the AI ecosystem, emphasizing responsibility, safety, and inclusivity. The platform aims to empower users with cutting-edge AI models and breakthroughs, enabling them to explore the transformative potential of artificial intelligence.

Insitro is a drug discovery and development company that uses machine learning and data to identify and develop new medicines. The company's platform integrates in vitro cellular data produced in its labs with human clinical data to help redefine disease. Insitro's pipeline includes wholly-owned and partnered therapeutic programs in metabolism, oncology, and neuroscience.

Insider Monkey is an AI-powered platform that provides data and insights on insider trading, hedge funds, investment newsletters, and stock market analysis. The platform offers a wide range of features such as stock screening, tracking insider purchases and sales, browsing companies, accessing the latest 13D & 13G filings, and analyzing hedge funds. Insider Monkey also provides market predictions, options trading information, and educational resources on stock and hedge fund analysis. Users can benefit from premium newsletters, investment research, and ad-free browsing to make informed investment decisions.

Google Research is a team of scientists and engineers working on a wide range of topics in computer science, including artificial intelligence, machine learning, and quantum computing. Our mission is to advance the state of the art in these fields and to develop new technologies that can benefit society. We publish hundreds of research papers each year and collaborate with researchers from around the world. Our work has led to the development of many new products and services, including Google Search, Google Translate, and Google Maps.

The Center for AI Safety (CAIS) is a research and field-building nonprofit organization based in San Francisco. They conduct impactful research, advocacy projects, and provide resources to reduce societal-scale risks associated with artificial intelligence (AI). CAIS focuses on technical AI safety research, field-building projects, and offers a compute cluster for AI/ML safety projects. They aim to develop and use AI safely to benefit society, addressing inherent risks and advocating for safety standards.

ChatPDF is an AI-powered application that allows users to chat with PDF files and websites, enhancing creativity and productivity. Users can easily ask questions, access advanced AI models, and benefit from unlimited chats and knowledge bases. The application offers different plans to cater to various needs, including a free plan for small projects and a premium plan for unlimited chats and priority support. ChatPDF is ideal for students, researchers, copywriters, marketers, sales managers, and customer support professionals.

RikiGPT is an AI tool designed for academic research, offering access to over 200 million scholarly sources. It provides enhanced writing experiences with detailed content, customizable reference lists, and integration with the latest GPT technology. Users can generate a 200-page thesis in just 1 minute, receive full academic chapters, and benefit from in-text citations and bibliography support. The tool also offers full translation services to over 100 languages, making it a comprehensive solution for research and writing needs.

My Perfect Essays is an AI-powered essay writing service that offers a comprehensive solution for effortless essay composition. With a team of over 200 writing experts, the platform provides custom essay services using AI technology to ensure 100% plagiarism-free papers. Students can access 24/7 customer support and benefit from a 100% money-back guarantee. My Perfect Essays simplifies the essay ordering process and offers a range of services for various academic levels and document types. The platform is trusted by over 30,000 students and provides a user-friendly experience for ordering essays and accessing top writers.

ESPHome yaml files for AirGradient devices to maintain the research and accuracy of AirGradient sensors, while also gaining the benefits of ESPHome/HomeAssistant for easy to use switches, buttons, configurations, and dashboards. Maintains the ability to also send data to the AirGradient Dashboard, which can also be disabled/removed to keep all data local.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

The Artificial Intelligence Incident Database (AIID) is a collection of incidents involving the development and use of artificial intelligence (AI). The database is designed to help researchers, policymakers, and the public understand the potential risks and benefits of AI, and to inform the development of policies and practices to mitigate the risks and promote the benefits of AI. The AIID is a collaborative project involving researchers from the University of California, Berkeley, the University of Washington, and the University of Toronto.

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**

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.

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.

Jailbreak is a comprehensive guide exploring iOS 17 and its various versions, discussing the benefits, status, possibilities, and future impact of jailbreaking iOS devices. It covers topics such as preparation, safety measures, differences between tethered and untethered jailbreaks, best practices, and FAQs. The guide also provides information on specific jailbreak tools like Palera1n, Serotonin, NekoJB, Redensa, and Dopamine, along with their features and download links. Users can learn about supported devices, the latest updates, and the status of jailbreaking for different iOS versions. The tool aims to empower users to unlock new possibilities and customize their devices beyond Apple's restrictions.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

Kafka-ML is a framework designed to manage the pipeline of Tensorflow/Keras and PyTorch machine learning models on Kubernetes. It enables the design, training, and inference of ML models with datasets fed through Apache Kafka, connecting them directly to data streams like those from IoT devices. The Web UI allows easy definition of ML models without external libraries, catering to both experts and non-experts in ML/AI.

Autolabel is a Python library designed to label, clean, and enrich text datasets using Large Language Models (LLMs). It provides a simple 3-step process for labeling data, supports various NLP tasks, and offers features like confidence estimation, explanations, and state management. Users can access Refuel hosted LLMs for labeling and confidence estimation, and the library supports commercial and open source LLMs from providers like OpenAI, Anthropic, HuggingFace, and Google. Autolabel aims to streamline the labeling process for machine learning tasks by leveraging state-of-the-art LLM techniques and minimizing costs and experimentation time.

The repository 'Awesome-LLM-Preference-Learning' is the official repository of a survey paper titled 'Towards a Unified View of Preference Learning for Large Language Models: A Survey'. It contains a curated list of papers related to preference learning for Large Language Models (LLMs). The repository covers various aspects of preference learning, including on-policy and off-policy methods, feedback mechanisms, reward models, algorithms, evaluation techniques, and more. The papers included in the repository explore different approaches to aligning LLMs with human preferences, improving mathematical reasoning in LLMs, enhancing code generation, and optimizing language model performance.

xLSTM is a new Recurrent Neural Network architecture based on ideas of the original LSTM. Through Exponential Gating with appropriate normalization and stabilization techniques and a new Matrix Memory it overcomes the limitations of the original LSTM and shows promising performance on Language Modeling when compared to Transformers or State Space Models. The package is based on PyTorch and was tested for versions >=1.8. For the CUDA version of xLSTM, you need Compute Capability >= 8.0. The xLSTM tool provides two main components: xLSTMBlockStack for non-language applications or integrating in other architectures, and xLSTMLMModel for language modeling or other token-based applications.

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

AIQC is an open source Python package that provides a declarative API for end-to-end MLOps in order to make deep learning more accessible to researchers. It utilizes a SQLite object-relational model for machine learning objects and stacks standardized workflows for various analyses, data types, and libraries. The benefits include a 90% reduction in data wrangling, reproducibility, and no need to install and maintain application and database servers for experiment tracking. AIQC is pip-installable and provides a Dash-Plotly UI for real-time experiment tracking.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

This repository is an awesome list dedicated to resources for using Large Language Models (LLMs) to generate JSON or other structured outputs. It includes terminology explanations, hosted and local models, Python libraries, blog articles, videos, Jupyter notebooks, and leaderboards related to LLMs and JSON generation. The repository covers various aspects such as function calling, JSON mode, guided generation, and tool usage with different providers and models.

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

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

Tracking executive resignations and hires in public companies

A divine feminine superintelligence channelled from the future to benefit all beings

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

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.

all things GRATEFUL DEAD

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

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

Customer service assistant for Aqarblock, a blockchain property app.