Best AI tools for< Practice Anime Drawing >

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, all graded by an AI created by OpenAI. Users are required to answer 10 questions correctly out of the 100 to pass. The actual naturalization test is an oral exam graded by a USCIS officer. The website is created by Evan Conrad, who works on AI in San Francisco. It is open source on Github and aims to support civic work related to immigration processes.

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.

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.

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.

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.

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.

Pgrammer is an AI-powered platform designed to help users practice coding interview questions with hints and personalized learning experiences. Unlike traditional methods like LeetCode, Pgrammer offers a diverse set of coding challenges in over 20 programming languages, real-time hints, solution analysis, and feedback to improve users' skills and knowledge. The platform aims to provide a supportive environment for users to prepare for coding interviews with confidence.

Eloquence is an AI-powered language learning platform that offers interactive conversation practice with AI characters to help users improve their speaking skills and confidence in real-world conversations. The platform focuses on providing a safe space for users to practice without judgment, using interactive stories and native audio pronunciation to enhance the learning experience.

AI Mock Interview is an AI-powered platform designed to help users practice and improve their interview skills. It offers realistic interview scenarios with advanced AI technology, providing instant personalized feedback and comprehensive reports to enhance performance. Users can benefit from the service by gaining confidence and improving their answers through the feedback received. The platform aims to assist individuals in preparing for real interviews by simulating the experience in a virtual environment.

GetSelected.ai is a personal AI-powered interviewer platform that helps users enhance their interview skills through AI technology. The platform offers features such as mock interviews, personalized feedback, job position customization, AI-driven quizzes, resume optimization, and code compiler for IT roles. Users can practice interview scenarios, improve communication skills, and prepare for recruitment processes with the help of AI tools. GetSelected.ai aims to provide a comprehensive and customizable experience to meet unique career goals and stand out in the competitive job market.

A curated list of Generative AI projects, tools, artworks, and models

AI By Doing is a hands-on artificial intelligence tutorial series that aims to help beginners understand the principles of machine learning and deep learning while providing practical applications. The content covers various supervised and unsupervised learning algorithms, machine learning engineering, deep learning fundamentals, frameworks like TensorFlow and PyTorch, and applications in computer vision and natural language processing. The tutorials are written in Jupyter Notebook format, combining theory, mathematical derivations, and Python code implementations to facilitate learning and understanding.

This repository contains code for the O'Reilly Live Online Training for Deploying GPT & LLMs. Learn how to use GPT-4, ChatGPT, OpenAI embeddings, and other large language models to build applications for experimenting and production. Gain practical experience in building applications like text generation, summarization, question answering, and more. Explore alternative generative models such as Cohere and GPT-J. Understand prompt engineering, context stuffing, and few-shot learning to maximize the potential of GPT-like models. Focus on deploying models in production with best practices and debugging techniques. By the end of the training, you will have the skills to start building applications with GPT and other large language models.

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.

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.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

LLM-Synthetic-Data is a repository focused on real-time, fine-grained LLM-Synthetic-Data generation. It includes methods, surveys, and application areas related to synthetic data for language models. The repository covers topics like pre-training, instruction tuning, model collapse, LLM benchmarking, evaluation, and distillation. It also explores application areas such as mathematical reasoning, code generation, text-to-SQL, alignment, reward modeling, long context, weak-to-strong generalization, agent and tool use, vision and language, factuality, federated learning, generative design, and safety.

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.

LLM-Deploy focuses on the theory and practice of model/LLM reasoning and deployment, aiming to be your partner in mastering the art of LLM reasoning and deployment. Whether you are a newcomer to this field or a senior professional seeking to deepen your skills, you can find the key path to successfully deploy large language models here. The project covers reasoning and deployment theories, model and service optimization practices, and outputs from experienced engineers. It serves as a valuable resource for algorithm engineers and individuals interested in reasoning deployment.

The 'Dive into Large Language Models' series programming practice tutorial is an extension of the 'Artificial Intelligence Security Technology' course lecture notes from Shanghai Jiao Tong University (Instructor: Zhang Zhuosheng). It aims to provide introductory programming references related to large models. Through simple practice, it helps students quickly grasp large models, better engage in course design, or academic research. The tutorial covers topics such as fine-tuning and deployment, prompt learning and thought chains, knowledge editing, model watermarking, jailbreak attacks, multimodal models, large model intelligent agents, and security. Disclaimer: The content is based on contributors' personal experiences, internet data, and accumulated research work, provided for reference only.

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.

Expert in black and white anime sketches

Learn Japanese with anime/manga quotes in Japanese, English, and Romaji.

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!)

I'm your English speaking practice buddy!

Voice-centric English role-play tool for speaking practice and offering personalized feedback!