Best AI tools for< Practice Questions >

IELTSWritingPro is an AI-powered platform designed to help users improve their IELTS writing skills. It offers detailed feedback, band estimation, and personalized improvement suggestions based on official grading criteria. Users can practice with over 250+ questions, receive comprehensive correction reports, and benefit from advanced AI technology to enhance their writing abilities. The platform supports various IELTS tasks for both Academic and General Training modules, providing in-depth analysis and evaluation. With a user-friendly interface and valuable insights, IELTSWritingPro aims to empower individuals to achieve success in the IELTS exam.

Interviews by AI is an AI-powered interview preparation tool designed to help job seekers boost their confidence, ace job interviews, and land their dream jobs. The tool leverages groundbreaking technologies like GPT-3.5 (ChatGPT) to deliver hyper-realistic interview questions and answers along with actionable feedback, making the interview preparation process stress-free and effective. With expertly crafted prompts and a streamlined user interface, Interviews by AI offers a specialized experience for interview preparation, suitable for a wide range of job roles and experience levels.

CreateMyTest is an online tool that uses artificial intelligence to automatically convert documents and YouTube videos into tests. It offers various question types, including multiple choice, true/false, matching, and fill in the blank. The platform aims to enhance studying by helping users retain knowledge through practice testing and reduce test anxiety.

A-Levels.ai is an online learning platform that provides students with personalized learning experiences. The platform uses artificial intelligence to track student progress and identify areas where they need additional support. A-Levels.ai also provides students with access to a library of resources, including video lessons, practice questions, and past papers.

PrepGenius.ai is an AI-driven test preparation platform designed to revolutionize the way students prepare for AP courses, college admission tests, and more. The platform offers personalized study plans, real-time feedback, interactive learning tools, and comprehensive resources to help students understand their strengths and weaknesses. With PrepGenius.ai, students can study smarter, receive tailored feedback, and track their progress to improve their test scores effectively.

Studyable is an AI-powered platform designed to assist students with homework help and flashcards. The application leverages artificial intelligence technology to provide personalized learning experiences for users. With Studyable, students can access a wide range of study materials, practice questions, and interactive flashcards to enhance their understanding of various subjects. The platform aims to make studying more efficient and engaging by offering tailored recommendations and adaptive learning features. Studyable is a valuable tool for students seeking academic support and looking to improve their study habits.

PrepMasterAI is an AI-powered platform designed to help individuals ace their job interviews by providing personalized practice questions, real-time feedback, and performance tracking. Users can unlock their full potential through tailored practice questions and insights to improve their interview skills. The platform aims to assist job seekers in identifying and enhancing their strengths and weaknesses to increase their chances of landing their dream job.

Axon is an AI-powered study and test prep platform designed specifically for the USMLE exam. It offers a comprehensive and personalized approach to help students study smarter, not harder. With a focus on efficiency and effectiveness, Axon aims to enhance the learning experience for medical students preparing for their exams. The platform provides a range of study resources, practice questions, and personalized study plans to optimize exam preparation and boost performance.

Final Round AI is an AI-powered platform designed to assist users in various stages of the job application process, from resume building to interview preparation. The platform offers a suite of AI tools, including Interview Copilot for real-time interview guidance, AI Resume Builder for creating optimized resumes, and Question Bank for practicing interview questions. Final Round AI aims to empower users by providing personalized support, industry-specific scenarios, and real-time feedback to enhance their job application success.

ExamSamur.ai is an AI-powered platform designed to help students prepare for exams efficiently. It offers a wide range of study materials, practice tests, and personalized study plans to enhance learning outcomes. The platform utilizes advanced algorithms to analyze students' performance and provide targeted feedback for improvement. With a user-friendly interface and interactive features, ExamSamur.ai aims to make exam preparation engaging and effective for students of all levels.

AI Study Assistant is an app designed to enhance learning experience and boost academic performance. It serves as a personal tutor, lecture summarizer, writer, and question generator powered by Google PaLM 2. Features include interacting with an AI chatbot, summarizing lectures, generating essays, and creating practice questions. The app is built using 100% Kotlin, Jetpack Compose, Clean Architecture, and MVVM design pattern, with technologies like Ktor, Room DB, Hilt, and Kotlin coroutines. AI Study Assistant aims to provide comprehensive AI-powered assistance for students in various academic tasks.

This repository contains a collection of interview questions related to various topics such as statistics, machine learning, deep learning, Python, networking, operating systems, data structures, and algorithms. The questions cover a wide range of concepts and are suitable for individuals preparing for technical interviews in the field of artificial intelligence and data science.

Awesome Text2SQL is a curated repository containing tutorials and resources for Large Language Models, Text2SQL, Text2DSL, Text2API, Text2Vis, and more. It provides guidelines on converting natural language questions into structured SQL queries, with a focus on NL2SQL. The repository includes information on various models, datasets, evaluation metrics, fine-tuning methods, libraries, and practice projects related to Text2SQL. It serves as a comprehensive resource for individuals interested in working with Text2SQL and related technologies.

Ask Astro is an open-source reference implementation of Andreessen Horowitz's LLM Application Architecture built by Astronomer. It provides an end-to-end example of a Q&A LLM application used to answer questions about Apache Airflow® and Astronomer. Ask Astro includes Airflow DAGs for data ingestion, an API for business logic, a Slack bot, a public UI, and DAGs for processing user feedback. The tool is divided into data retrieval & embedding, prompt orchestration, and feedback loops.

This Github repository contains practice session materials for the TUM course on Artificial Intelligence in Automotive Technology. It includes coding examples used in the lectures to teach the foundations of AI in automotive technology. The repository aims to provide hands-on experience and practical knowledge in applying AI concepts to the automotive industry.

Web-LLM Assistant is a simple web search assistant that leverages a large language model (LLM) running via Llama.cpp to provide informative and context-aware responses to user queries. It combines the power of LLMs with real-time web searching capabilities, allowing it to access up-to-date information and synthesize comprehensive answers. The tool performs web searches, collects and scrapes information from search results, refines search queries, and provides answers based on the acquired information. Users can interact with the tool by asking questions or requesting web searches, making it a valuable resource for obtaining information beyond the LLM's training data.

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**

The 'ollama-ebook-summary' repository is a Python project that creates bulleted notes summaries of books and long texts, particularly in epub and pdf formats with ToC metadata. It automates the extraction of chapters, splits them into ~2000 token chunks, and allows for asking arbitrary questions to parts of the text for improved granularity of response. The tool aims to provide summaries for each page of a book rather than a one-page summary of the entire document, enhancing content curation and knowledge sharing capabilities.

Eval-Scope is a framework designed to support the evaluation of large language models (LLMs) by providing pre-configured benchmark datasets, common evaluation metrics, model integration, automatic evaluation for objective questions, complex task evaluation using expert models, reports generation, visualization tools, and model inference performance evaluation. It is lightweight, easy to customize, supports new dataset integration, model hosting on ModelScope, deployment of locally hosted models, and rich evaluation metrics. Eval-Scope also supports various evaluation modes like single mode, pairwise-baseline mode, and pairwise (all) mode, making it suitable for assessing and improving LLMs.

mlcourse.ai is an open Machine Learning course by OpenDataScience (ods.ai), led by Yury Kashnitsky (yorko). The course offers a perfect balance between theory and practice, with math formulae in lectures and practical assignments including Kaggle Inclass competitions. It is currently in a self-paced mode, guiding users through 10 weeks of content covering topics from Pandas to Gradient Boosting. The course provides articles, lectures, and assignments to enhance understanding and application of machine learning concepts.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

Open Data QnA is a Python library that allows users to interact with their PostgreSQL or BigQuery databases in a conversational manner, without needing to write SQL queries. The library leverages Large Language Models (LLMs) to bridge the gap between human language and database queries, enabling users to ask questions in natural language and receive informative responses. It offers features such as conversational querying with multiturn support, table grouping, multi schema/dataset support, SQL generation, query refinement, natural language responses, visualizations, and extensibility. The library is built on a modular design and supports various components like Database Connectors, Vector Stores, and Agents for SQL generation, validation, debugging, descriptions, embeddings, responses, and visualizations.

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

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

llama.cpp is a C++ implementation of LLaMA, a large language model from Meta. It provides a command-line interface for inference and can be used for a variety of tasks, including text generation, translation, and question answering. llama.cpp is highly optimized for performance and can be run on a variety of hardware, including CPUs, GPUs, and TPUs.

Vespa is an open-source search and AI engine that provides a unified platform for building and deploying search and AI applications. Vespa sample applications showcase various use cases and features of Vespa, including basic search, recommendation, semantic search, image search, text ranking, e-commerce search, question answering, search-as-you-type, and ML inference serving.

This repository introduces and helps organizations get started with building AI Apps and incorporating Large Language Models (LLMs) into them. The workshop covers topics such as prompt engineering, AI orchestration, and deploying AI apps. Participants will learn how to use Azure OpenAI, Langchain/ Semantic Kernel, Qdrant, and Azure AI Search to build intelligent applications.

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 🙏!**

Practice makes perfect (and I make practice perfect): Get ready for the real exam with adaptive practice questions that mirror the NCLEX format and difficulty. The more you practice, the more confident you'll feel

Your go-to coach for career growth 👨👩🎓 Practice questions in multiple languages: The AI can help you build confidence for your next interview by providing you with positive reinforcement and feedback.

Your LSAT study companion, providing tips, strategies, and answers to practice questions.

An academic assistant for psychiatrists, creating educational content and practice questions. (Not for use in clinical decision making, verify all information, as model may produce errors)

A PE exam coach offering study strategies, practice questions, and motivational support.

Your Anatomy Tutor: Assisting with key concepts, study plans and practice questions!

PMP Training Instructor, providing lessons, answers, and practice questions on project management.

試験の練習問題を作成します。

Coach for investment banking technical interviews

专业辅导计算机软件考试的助手

An educational tutor assisting with course materials and exam prep.

[Beta] Bibliotecaria especializada en la preparación de oposiciones a bibliotecas

Your AI companion for NCE exam preparation and study guidance.

Pocket Teacher is an AI-powered assistant designed to enhance students' learning experience by providing interactive study aids based on their uploaded materials.

Grade 6 & 7 iGCSE guide, tailored to the Pakistani syllabus.

Study Assistant for AMC MCQ Exam preparation

Converts notes to Q&A for downloadable, printable study material.

USMLE Step 1 study tutor using Duke Pathoma Anki deck, evaluates and guides answers. Powered by SlaySchool.com

微积分辅导老师，解答问题，提供技巧。

SAT test preparation assistant, offering strategies and tips.