Best AI tools for< Practice Fractions >

Synthesis Tutor is an AI-powered math tutoring application designed for children aged 5-11. It offers personalized math learning experiences, immediate evaluation and adaptation, unlimited practice, and active engagement. The application aims to build deep understanding and confidence in math through a multisensory experience. Synthesis Tutor goes beyond rote memorization, empowering children to explore, understand, and excel in math. It provides 1-on-1 attention, fills gaps in knowledge, and offers immersive, engaging, and fun learning experiences.

Teacher AI is a language practice tool that provides personalized speaking practice without the anxiety of interacting with a real person. It is available 24/7 for a fraction of the cost of a human teacher. Teacher AI corrects mistakes, explains grammar, and gets to know the user's learning style. It also tracks progress and provides motivation. Teacher AI is not suitable for complete beginners looking for structured lessons.

Fractional AI is an AI tool that specializes in developing AI-powered solutions for various applications, such as automating content moderation, building API integrations, and personalizing learning experiences. The tool leverages advanced AI models like GPT 4o and GPT 3.5 to provide efficient and effective solutions for complex tasks. Fractional AI aims to bridge the gap between AI development and production by offering tailored AI solutions to meet specific business needs.

Math Sniper is an AI-powered application designed to provide precise math solutions, exam preparation assistance, and exploration of mathematical concepts. The app offers step-by-step solutions to math challenges at all levels, connects users with math tutors for personalized help, and covers a wide range of subjects beyond mathematics, such as biology, chemistry, physics, history, economics, and language tasks. With features like Snap & Ask for instant answers, step-by-step explanations, and a user-friendly interface, Math Sniper aims to enhance users' understanding of complex concepts and facilitate learning in various disciplines.

Bluewhite is an autonomous technology platform designed to make farming more resilient and profitable. The platform equips existing fleets with autonomous technology, providing growers with end-to-end service and timely data insights. Bluewhite Pathfinder can handle any tractor, implement, and crop, offering a single platform with multiple functions. The platform prioritizes safety with layers of safety redundancy and offers 24/7 support for autonomous farm success. Bluewhite has received recognition in the industry for its innovative approach to farming technology.

This website provides AI-powered interview practice tools to help job seekers prepare for and ace their interviews. The platform offers a range of features, including personalized interview questions, mock interviews with AI-powered feedback, and access to a library of interview resources.

Practice Run AI is an online platform that offers AI-powered tools for various tasks. Users can utilize the application to practice and run AI algorithms without the need for complex setups or installations. The platform provides a user-friendly interface that allows individuals to experiment with AI models and enhance their understanding of artificial intelligence concepts. Practice Run AI aims to democratize AI education and make it accessible to a wider audience by simplifying the learning process and providing hands-on experience.

The US Citizenship Practice Exam website is an AI-powered platform designed to help users study for the US naturalization test. The site offers a practice exam with 100 questions, graded by an AI created by OpenAI. Users need to answer 6 out of 10 questions correctly to pass the actual test, which is an oral exam conducted by a USCIS officer. The website is created by Evan Conrad and is open source on Github. It aims to support civic work and was inspired by projects like Plymouth Street, YIMBY Action, and Institute for Progress.

ReadTheory is a free online reading comprehension practice tool for students and teachers. It offers personalized reading comprehension exercises for grades K-12 and ESL students, with adaptive technology that adjusts to each student's specific reading level. ReadTheory also provides teachers with easy-to-use reporting and thousands of interactive exercises and worksheets. With ReadTheory, teachers can save time with automatic marking, track individual student and class progress in real-time, and motivate students to read with engaging class competitions, badges, and prizes.

APEUni is an AI-powered platform designed to help users practice for the Pearson Test of English (PTE) exam. It offers various AI scoring features for different sections of the PTE exam, such as Speaking, Writing, Reading, and Listening. Users can access practice materials, study guides, and receive detailed score reports to improve their performance. APEUni aims to provide a comprehensive and efficient way for PTE test takers to prepare for the exam.

Blush is an AI-powered dating simulator that helps users learn and practice relationship skills in a safe and fun environment. It offers a judgment-free space to refine communication skills, engage with different personalities, and gain a better understanding of relationships. Users can experiment with flirting and communication, receive personalized guidance, and explore desires in a consensual manner. The application provides emotional support, companionship, and validation, allowing users to feel more connected and understood. Through interactions with AI characters, users can navigate relationship dynamics, build confidence in dating, and meet potential matches with unique personalities and interests.

CasperPractice is an AI-powered toolkit designed to help individuals prepare for the Casper test, an open-response situational judgment test used for admissions to various professional schools. The platform offers personalized practice scenarios, instant quartile grading, detailed feedback, video answers, and a fully simulated test environment. With a large question bank and unlimited practice options, users can improve their test-taking skills and aim for a top quartile score. CasperPractice is known for its affordability, instant feedback, and realistic simulation, making it a valuable resource for anyone preparing for the Casper test.

Skillora is an AI Interviewer Tool designed to help individuals practice and improve their interview skills in a safe and realistic environment. Users can take personalized mock interviews with the AI interviewer, receive instant feedback, and access learning resources to enhance their performance. Skillora offers customizable mock interviews tailored to any job description, dynamic follow-up questions, and clear scoring for each response. The application aims to boost users' confidence and success in landing their dream jobs.

SLAIT School is an online education platform that offers the opportunity to learn American Sign Language in an interactive and engaging manner. Users can practice ASL 24/7, receive live feedback on their signing, participate in cool quizzes, and take interactive tests to improve their skills. The platform also provides free lessons, premium subscription options, and a full curriculum for comprehensive learning.

Kippy is an AI language tutor application that allows users to practice speaking in various languages anytime, anywhere. It offers real-life conversations, pronunciation improvement, progress tracking, unlimited conversations powered by ChatGPT, natural human-like voices, instant 2-way translation, personal phrasebooks, and more. Users can engage in role-playing scenarios, test their pronunciation, track their vocabulary growth, and set daily speaking goals. The app supports English, Spanish, German, Italian, French, Korean, Japanese, Chinese, and Russian languages.

FALTAH is an AI-powered Interview Simulation tool designed to help users practice interview questions, enhance their skills, and receive tips for their next interview. The tool utilizes artificial intelligence to provide personalized feedback, performance reports, personality analysis, and CV parsing. It aims to assist students, job seekers, and remote workers in improving their interview skills and increasing their job prospects.

Testmint.ai is an online mock test platform designed to help users prepare for competitive exams. It offers a wide range of practice tests and study materials to enhance exam readiness. The platform is user-friendly and provides a simulated exam environment to improve test-taking skills. Testmint.ai aims to assist students and professionals in achieving their academic and career goals by offering a comprehensive and effective exam preparation solution.

Tutor AI is an AI English-speaking application designed to assist individuals in practicing their spoken English skills with the aid of an artificial intelligence chatbot. The app offers a safe and judgment-free environment for users to engage in free-flowing, natural conversations with diverse AI characters. It provides real-time feedback, suggests better ways to express oneself, and offers adjustable features to enhance the learning experience. Tutor AI aims to improve users' spoken English skills confidently and effectively through personalized lessons and interactive learning.

PracticeTalking is an AI tool that allows users to engage in conversations with AI models on various topics, ranging from fun and educational discussions to practicing important conversations for real-life scenarios. Users can interact with pre-trained AIs or create their own, enabling them to simulate conversations with anyone, including celebrities, historical figures, or even fictional characters. The platform offers a diverse range of AI agents, such as interview practice, new friend conversations, and more, to help users improve their communication skills and boost their confidence in social interactions.

Consultan is an AI tool designed to help users practice consulting interviews. It provides instant expert feedback on responses, offering unbiased reviews and suggestions. The tool is free to use and includes interview questions from top consulting firms like McKinsey, Bain, BCG, and Deloitte.

LLM Engineering is an 8-week course designed to help learners master AI and LLMs through a series of projects that gradually increase in complexity. The course covers setting up the environment, working with APIs, using Google Colab for GPU processing, and building an autonomous Agentic AI solution. Learners are encouraged to actively participate, run code cells, tweak code, and share their progress with the community. The emphasis is on practical, educational projects that teach valuable business skills.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

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**

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Quantus is a toolkit designed for the evaluation of neural network explanations. It offers more than 30 metrics in 6 categories for eXplainable Artificial Intelligence (XAI) evaluation. The toolkit supports different data types (image, time-series, tabular, NLP) and models (PyTorch, TensorFlow). It provides built-in support for explanation methods like captum, tf-explain, and zennit. Quantus is under active development and aims to provide a comprehensive set of quantitative evaluation metrics for XAI methods.

Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.

The fal.ai JS client is a robust and user-friendly library for seamless integration of fal serverless functions in Web, Node.js, and React Native applications. Developed in TypeScript, it provides developers with type safety right from the start. The client library is crafted as a lightweight layer atop platform standards like `fetch`, ensuring hassle-free integration into existing codebases and flawless operation across various JavaScript runtimes. The client proxy feature allows secure handling of credentials by using a server proxy for serverless APIs. The repository also includes example Next.js applications for demonstration and integration.

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.

VideoLingo is an all-in-one video translation and localization dubbing tool designed to generate Netflix-level high-quality subtitles. It aims to eliminate stiff machine translation, multiple lines of subtitles, and can even add high-quality dubbing, allowing knowledge from around the world to be shared across language barriers. Through an intuitive Streamlit web interface, the entire process from video link to embedded high-quality bilingual subtitles and even dubbing can be completed with just two clicks, easily creating Netflix-quality localized videos. Key features and functions include using yt-dlp to download videos from Youtube links, using WhisperX for word-level timeline subtitle recognition, using NLP and GPT for subtitle segmentation based on sentence meaning, summarizing intelligent term knowledge base with GPT for context-aware translation, three-step direct translation, reflection, and free translation to eliminate strange machine translation, checking single-line subtitle length and translation quality according to Netflix standards, using GPT-SoVITS for high-quality aligned dubbing, and integrating package for one-click startup and one-click output in streamlit.

FuseMedML is a Python framework designed to accelerate machine learning-based discovery in the medical field by promoting code reuse. It provides a flexible design concept where data is stored in a nested dictionary, allowing easy handling of multi-modality information. The framework includes components for creating custom models, loss functions, metrics, and data processing operators. Additionally, FuseMedML offers 'batteries included' key components such as fuse.data for data processing, fuse.eval for model evaluation, and fuse.dl for reusable deep learning components. It supports PyTorch and PyTorch Lightning libraries and encourages the creation of domain extensions for specific medical domains.

LangChain Decorators is a layer on top of LangChain that provides syntactic sugar for writing custom langchain prompts and chains. It offers a more pythonic way of writing code, multiline prompts without breaking code flow, IDE support for hinting and type checking, leveraging LangChain ecosystem, support for optional parameters, and sharing parameters between prompts. It simplifies streaming, automatic LLM selection, defining custom settings, debugging, and passing memory, callback, stop, etc. It also provides functions provider, dynamic function schemas, binding prompts to objects, defining custom settings, and debugging options. The project aims to enhance the LangChain library by making it easier to use and more efficient for writing custom prompts and chains.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

This repository provides resources and materials for learning fundamental mathematical concepts essential for artificial intelligence, including linear algebra, calculus, and LaTeX. It includes lecture notes, video playlists, books, and practical sessions to help users grasp key concepts. The repository aims to equip individuals with the necessary mathematical foundation to excel in machine learning and AI-related fields.

Cria is a Python library designed for running Large Language Models with minimal configuration. It provides an easy and concise way to interact with LLMs, offering advanced features such as custom models, streams, message history management, and running multiple models in parallel. Cria simplifies the process of using LLMs by providing a straightforward API that requires only a few lines of code to get started. It also handles model installation automatically, making it efficient and user-friendly for various natural language processing tasks.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

This repository provides the official implementation of the paper 'On Embeddings for Numerical Features in Tabular Deep Learning'. It focuses on transforming scalar continuous features into vectors before integrating them into the main backbone of tabular neural networks, showcasing improved performance. The embeddings for continuous features are shown to enhance the performance of tabular DL models and are applicable to various conventional backbones, offering efficiency comparable to Transformer-based models. The repository includes Python packages for practical usage, exploration of metrics and hyperparameters, and reproducing reported results for different algorithms and datasets.

Child-friendly guide for fractions.

An educational guide for understanding and applying fractions.

By combining the expertise of top career coaches with advanced AI, our GPT helps you excel in interviews across various job functions and levels. We've also compiled the most practical tips for you | We value your experience, please contact [email protected] if you need support ❤️!

A factorio moder that creates mods for you and improves your functions and makes helpful functions from the game api

Your go-to partner for a great 2 person scene.

This GPT will create a practice plan with a given time based on Gold Medal Squared methodology

Crack open the door to your future. (Partner tip: use the iPhone app for voice chat)

Interview with Ami. An AI moderated practice interviewer created by @SprinterviewAi

Learn Linux by Hands-on Labs and AI

4.5 ★ A mock interview is a practice interview, that could be useful while you're looking for a job. This GPT works for any job and any language.

Your friendly English practice partner.

I create detailed random UI design practice prompts.

Expert in orthopaedic practice management and strategy

Expert in guitar techniques and advanced music theory.

Provides coordinates for remote viewing.

预测：方法与实践（第三版） Rob J Hyndman 和 George Athanasopoulos 澳大利亚莫纳什大学

Practice your Wizarding Words to Make Magical Creatures

Get into FAANG. Practice with an AI expert in algorithms, data structures, and system design. Do a mock interview and improve.

A bot to practice your Russian

Practice speaking another language like a local without being a local (use ChatGPT Voice via mobile app!)