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Critiqs.ai is a platform offering reviews, tutorials, and a comprehensive list of over 5000 AI tools. These tools cover various categories such as image editing, audio generation, productivity enhancement, business solutions, text generation, coding assistance, and more. AI tools are software systems powered by artificial intelligence that automate tasks requiring human intelligence, from chatbots for customer service to predictive analytics for supply chain management. Critiqs.ai caters to tech enthusiasts, developers, and businesses seeking cutting-edge AI solutions to streamline operations, enhance skills, and explore the benefits of AI technology.

Working Smarter is a podcast that explores the intersection of AI and modern work. The podcast delves into how AI is revolutionizing various industries, showcasing real-world examples of how AI tools are enhancing collaboration, productivity, and problem-solving. Through interviews with founders, researchers, and engineers, Working Smarter provides insights into the potential of AI to streamline workflows and empower individuals to focus on meaningful tasks.

Plan Quest is an AI-powered planning tool that helps you set and track goals, create visual timelines, and collaborate with others. It offers a variety of features to help you stay organized and motivated, including AI-powered plan creation, timeline visualization, OKR tracking, a Notion-like editor, and a canvas for reflection. Plan Quest is designed to help you achieve your goals, whether they're personal or professional.

Deferred.com is a free AI tool designed to assist users with 1031 exchanges, a tax-deferral strategy in real estate investment. The platform offers a range of resources, including an exchange calculator, expert answers, and matching with 1031 professionals. Users can optimize tax savings, find the right intermediary, and access essential reading materials on tax deferral and exchange rules. With a focus on simplifying the complex process of 1031 exchanges, Deferred.com aims to empower real estate investors to make informed decisions and maximize their financial benefits.

SkipWatch is an AI-powered YouTube summarizer that allows users to quickly generate video summaries, saving time and enhancing learning efficiency. With SkipWatch, users can access key information from YouTube videos in seconds, breaking language barriers and accelerating learning. The tool is designed to boost productivity by providing instant video summaries and extracting essential content from videos. Users can easily install SkipWatch as a Chrome extension and enjoy the benefits of efficient content consumption.

Stable Diffusion 3 is an advanced text-to-image model developed by Stability AI, offering significant improvements in image fidelity, multi-subject handling, and text adherence. Leveraging the Multimodal Diffusion Transformer (MMDiT) architecture, it features separate weights for image and language representations. Users can access the model through the Stable Diffusion 3 API, download options, and online platforms to experience its capabilities and benefits.

ChatBTC is an AI tool designed to help users learn about bitcoin technology and history. It provides AI responses to questions related to bitcoin technology, such as approaches to mitigating fee sniping, the benefits of SegWit, and the differences between PTLCs and HTLCs. The tool features AI bots representing various bitcoin experts who provide insights and explanations on different aspects of bitcoin development and usage. ChatBTC aims to educate users on complex bitcoin concepts in a user-friendly and interactive manner.

Acrostic.AI is a website that offers an acrostic poem generator tool. An acrostic is a poetic form where the initial letters of each line spell out a word or message. The website provides information on acrostics, their history, and tips for creating effective acrostic poems. Users can generate acrostics for names, words, or themes, and explore examples and famous acrostics in literature. Additionally, the site introduces mnemonic phrases as memory aids, explaining their types and benefits in helping remember information through creative associations.

MediNav is an AI-powered medical assistant that learns and reduces documentation time for healthcare professionals. It is more than just a medical dictation software, as it operates based on a complex algorithm that retains, notes, extracts medical information, and continuously learns. The application aims to streamline medical documentation processes, reduce costs associated with administrative tasks, and improve overall efficiency in healthcare settings. MediNav is designed to cater to various medical specialties such as Radiology, Cardiology, Gastroenterology, Pathology, and more, offering benefits like reduced staffing costs, more time for patient care, and faster delivery of imaging results.

Yodi Relationship Coach App is a mobile application designed to help individuals and couples improve their relationships through personalized coaching, interactive tools, and evidence-based strategies. The app is based on PAIRS, the Practical Application of Intimate Relationship Skills program, developed by leading therapists and educators to help couples, marriages, and families. Yodi aims to enhance the quality of relationships, foster emotional well-being, and promote healthy communication. Users can learn proven communication, conflict resolution, and emotional connection skills, discover immediate benefits and practical tools to improve relationships, and use the app at their own pace with complete privacy at no cost.

The Run Recommender is a web-based tool that helps runners find the perfect pair of running shoes. It uses a smart algorithm to suggest options based on your input, giving you a starting point in your search for the perfect pair. The Run Recommender is designed to be user-friendly and easy to use. Simply input your shoe width, age, weight, and other details, and the Run Recommender will generate a list of potential shoes that might suit your running style and body. You can also provide information about your running experience, distance, and frequency, and the Run Recommender will use this information to further refine its suggestions. Once you have a list of potential shoes, you can click on each shoe to learn more about it, including its features, benefits, and price. You can also search for the shoe on Amazon to find the best deals.

DeepLearning.AI is an AI education platform offering courses and resources to help individuals start or advance their careers in artificial intelligence. Founded by renowned AI expert Andrew Ng, the platform provides a wide range of courses, specializations, newsletters, and community forums to help learners build a strong foundation in machine learning and AI skills. Subscribers can access the latest AI news, insights, and events, and benefit from the expertise of industry leaders. With a focus on practical learning and real-world applications, DeepLearning.AI aims to empower individuals to harness the power of AI and contribute to the rapidly evolving field.

AI Mavericks is an education and training company that helps Founders, CEOs, and Leadership Teams build great companies and make AI an important part of their business growth strategy. The company offers live events, online courses, and hand-on consulting services. Customers benefit from best-in-class training, exceptional mentorship, and a five star business network. AI Mavericks assists business leaders in demystifying AI, creating AI vision, strategy, and roadmap, leveraging tools like ChatGPT, and being part of an exceptional business network.

Leap by Thoughtjumper is a personalized learning platform designed to help users learn faster and better. It offers customized guidance in various subjects such as web development, digital marketing, data science, finance, design, business, product management, and personal growth. The platform provides interactive learning experiences, goal tracking, and future feature suggestions. Users can benefit from a diverse mix of content types, including videos, articles, 3D models, and more. Leap aims to make learning clear, easy, and engaging for students and professionals alike.

Bloom Home is an AI-powered platform that offers personalized learning plans to help users unlock their potential. The platform utilizes advanced AI technology to tailor learning plans according to individual needs and goals, ensuring accelerated growth through optimized content and pacing. With an intuitive user interface and user experience design, Bloom Home makes learning a seamless and enjoyable experience. Users can choose any topic they want to learn, from cryptography to music, and the AI customization feature analyzes responses to create personalized learning plans. Testimonials from users highlight the platform's effectiveness in helping them learn new skills. Join Bloom Home to transform your learning journey and join thousands of learners who have benefited from the platform.

slAItor is an AI translation assistant powered by GPT technology. It offers advanced translation features and customization options to enhance the translation experience. Users can benefit from step-by-step translations, multiple translation alternatives, and unique translation styles. The tool supports 28 language pairs and combines recent AI advancements with traditional translation techniques to deliver accurate and efficient translations. slAItor also provides post-processing and evaluation steps to ensure translation quality and offers a user-friendly interface for seamless translation management.

Photomath is the ultimate math help app designed to assist learners of all levels, from elementary through college, in understanding and solving math problems. The app provides step-by-step explanations, allows users to scan problems, offers multiple solution methods, and encourages learning through detailed explanations. Photomath aims to help users build their math skills and confidence by providing personalized math assistance anytime, anywhere. With millions of learners benefiting from its features monthly, Photomath is a valuable tool for anyone seeking math support.

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

FuturistU is an AI-powered masterclass platform that offers a vast database of ideas and innovations, trend reports, consumer insights, and customized services to accelerate innovation and ignite disruptive thinking. With over 20 million people benefiting from their New York Times Bestselling books and keynote videos, FuturistU aims to prepare individuals and organizations for the future by providing cutting-edge tools, frameworks, and training programs. Their AI-powered Trend Reports and exclusive PRO research help brands stay ahead of the curve by uncovering major shifts and emerging opportunities in the market.

FunBlocks is an AI reading and writing assistant application that aims to unleash users' full potential by providing a suite of AI-powered tools for brainstorming, writing, reading, and creating presentations. It offers features such as AI Flow for creativity enhancement, AI Extension for boosting efficiency, and AI Writer and AI Slides for content creation. Users can benefit from personalized AI solutions, seamless collaboration ecosystem, and innovative prompts tailored to their needs. FunBlocks caters to various user roles, including students, content creators, researchers, and professionals, by offering a comprehensive support system for knowledge work.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

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.

LangGraph.js is a library for building stateful, multi-actor applications with LLMs, offering benefits such as cycles, controllability, and persistence. It allows defining flows involving cycles, providing fine-grained control over application flow and state. Inspired by Pregel and Apache Beam, it includes features like loops, persistence, human-in-the-loop workflows, and streaming support. LangGraph integrates seamlessly with LangChain.js and LangSmith but can be used independently.

WrenAI is a data assistant tool that helps users get results and insights faster by asking questions in natural language, without writing SQL. It leverages Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) technology to enhance comprehension of internal data. Key benefits include fast onboarding, secure design, and open-source availability. WrenAI consists of three core services: Wren UI (intuitive user interface), Wren AI Service (processes queries using a vector database), and Wren Engine (platform backbone). It is currently in alpha version, with new releases planned biweekly.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

AI Samples for .NET is a repository containing various samples demonstrating how to use AI in .NET applications. It provides quickstarts using Semantic Kernel and Azure OpenAI SDK, covers LLM Core Concepts, End to End Examples, Local Models, Local Embedding Models, Tokenizers, Vector Databases, and Reference Examples. The repository showcases different AI-related projects and tools for developers to explore and learn from.

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.

aioimaplib is a Python library inspired by imaplib and imaplib2, aiming to port imaplib with asyncio for asynchronous benefits. It provides functionalities to interact with IMAP servers using asyncio, including checking mailbox, waiting for new messages, handling IDLE command, threading, IMAP command concurrency, logging configuration, and authentication with OAuth2. The library is tested with various IMAP servers like dovecot, Gmail, Outlook, Yahoo, etc. Developers are encouraged to contribute by improving, bug fixing, testing with other IMAP servers, and providing feedback. The library supports most IMAP4rev1 commands from RFC3501 and plans to implement additional commands like 'STARTTLS', 'AUTHENTICATE', 'COMPRESS', 'SETACL', 'DELETEACL', 'GETACL', 'MYRIGHTS', 'LISTRIGHTS', 'GETQUOTA', 'GETQUOTAROOT', 'SETQUOTA', 'SORT', 'THREAD', 'ID', 'NAMESPACE', 'CATENATE', and tests with other servers.

Ivy is an open-source machine learning framework that enables you to: * 🔄 **Convert code into any framework** : Use and build on top of any model, library, or device by converting any code from one framework to another using `ivy.transpile`. * ⚒️ **Write framework-agnostic code** : Write your code once in `ivy` and then choose the most appropriate ML framework as the backend to leverage all the benefits and tools. Join our growing community 🌍 to connect with people using Ivy. **Let's** unify.ai **together 🦾**

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.

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.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

LLMLanding is a repository focused on practical implementation of large models, covering topics from theory to practice. It provides a structured learning path for training large models, including specific tasks like training 1B-scale models, exploring SFT, and working on specialized tasks such as code generation, NLP tasks, and domain-specific fine-tuning. The repository emphasizes a dual learning approach: quickly applying existing tools for immediate output benefits and delving into foundational concepts for long-term understanding. It offers detailed resources and pathways for in-depth learning based on individual preferences and goals, combining theory with practical application to avoid overwhelm and ensure sustained learning progress.

OpenAI is a Swift community-maintained implementation over OpenAI public API. It is a non-profit artificial intelligence research organization founded in San Francisco, California in 2015. OpenAI's mission is to ensure safe and responsible use of AI for civic good, economic growth, and other public benefits. The repository provides functionalities for text completions, chats, image generation, audio processing, edits, embeddings, models, moderations, utilities, and Combine extensions.

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.

InvokeAI is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. InvokeAI offers an industry leading Web Interface, interactive Command Line Interface, and also serves as the foundation for multiple commercial products.

The Fire-Flyer File System (3FS) is a high-performance distributed file system designed for AI training and inference workloads. It leverages modern SSDs and RDMA networks to provide a shared storage layer that simplifies development of distributed applications. Key features include performance, disaggregated architecture, strong consistency, file interfaces, data preparation, dataloaders, checkpointing, and KVCache for inference. The system is well-documented with design notes, setup guide, USRBIO API reference, and P specifications. Performance metrics include peak throughput, GraySort benchmark results, and KVCache optimization. The source code is available on GitHub for cloning and installation of dependencies. Users can build 3FS and run test clusters following the provided instructions. Issues can be reported on the GitHub repository.

Curated Transformers is a transformer library for PyTorch that provides state-of-the-art models composed of reusable components. It supports various transformer architectures, including encoders like ALBERT, BERT, and RoBERTa, and decoders like Falcon, Llama, and MPT. The library emphasizes consistent type annotations, minimal dependencies, and ease of use for education and research. It has been production-tested by Explosion and will be the default transformer implementation in spaCy 3.7.

The AI-Gateway repository explores the AI Gateway pattern through a series of experimental labs, focusing on Azure API Management for handling AI services APIs. The labs provide step-by-step instructions using Jupyter notebooks with Python scripts, Bicep files, and APIM policies. The goal is to accelerate experimentation of advanced use cases and pave the way for further innovation in the rapidly evolving field of AI. The repository also includes a Mock Server to mimic the behavior of the OpenAI API for testing and development purposes.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

Your go-to buddy for Mediterranean Diet tips, recipes, and benefits. Let's make healthy eating delightful! 🍽️🌿🍇

Gives you a Joker for Dry January, but only if you can convince her...

Find eco-friendly beauty alternatives! 🌎💚 This GPT helps you swap to clean, sustainable products with ease.

A guide on gratitude.

Expert in chewing gum flavors, brands, and benefits.

Expert on saunas, providing informative and wellness-focused insights.

Expert in creating a cycling encyclopedia with thematic outlines

Guides users through VA benefits and services.

Empathetic guide for VA claims, offering precise, reliable assistance.

Chill and witty cannabis guide

Pomáham ti nájsť relevantné informácie o BHB ketónoch.

Expert in age reversal supplement trends.

I'm an orange expert, here to advise on varieties, recipes, and more.

Provides insights on multivitamins, their benefits, and dosage guidelines.

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

Expert on olive oil, its culinary uses, and health benefits.

Expert in soaps, providing information on types, making techniques, and benefits.

Discusses urban living, city life, challenges, and benefits with an informative tone.

Este modelo de GPT proporciona información general sobre la toxina botulínica, incluyendo su historia, usos comunes y datos de interés. Está diseñado para educar y ofrecer una visión general basada en fuentes de información públicas y conocidas. No proporciona consejos médicos

Jouw gids voor een gebruiksvriendelijke Nederlandse overheid.