Best AI tools for< Language Learners >

LingoLeap is an AI-powered tool and platform designed for TOEFL and IELTS preparation. It leverages artificial intelligence to provide personalized feedback and guidance tailored to individual learning needs. With features such as instant feedback, practice tests, high-score answer generation, and vocabulary boost, LingoLeap aims to help users improve their English skills efficiently. The tool offers subscription plans with varying credits for speaking and writing evaluations, along with a free trial option. LingoLeap's innovative approach enhances language learning by analyzing users' language expression, grammar accuracy, and vocabulary application, similar to the official TOEFL test standards.

The website is currently displaying a '403 Forbidden' error, which means that access to the requested resource is denied. This error is typically caused by insufficient permissions or server misconfiguration. The 'openresty' message indicates that the server is using the OpenResty web platform. OpenResty is a web platform based on NGINX and LuaJIT, often used for building dynamic web applications. It provides a powerful and flexible environment for web development.

DeutschDictionary.com is the go-to online platform for language learners, specifically focusing on German-English translations. With over 1 million translations, conjugations, and example sentences, it provides a comprehensive resource for individuals looking to enhance their German language skills. The website is powered by AI teachers and editors who continuously update the database with new words and translations. DeutschDictionary.com is loved globally for its user-friendly interface, daily additions of new words, example sentences, and search improvements. It is a free and reliable tool for anyone interested in learning German.

AnkiDecks is an online tool that helps users generate flashcards from files or text using AI. It supports various file formats, including PDFs, Word documents, PowerPoint presentations, and text files. The generated flashcards can be used for studying purposes, particularly for language learning. AnkiDecks also offers features such as cloze (fill-in-the-blank) flashcards and text-to-speech functionality for language flashcards. Users can import the generated flashcards into the popular flashcard software Anki for further review and practice.

The website is an AI tool called ChatGPT that offers browser extensions to search chat history, pin chats, and disable autoscroll. ChatGPT uses advanced natural language processing to enhance chat experiences by providing users with convenient features to manage their conversations effectively.

Langotalk is an AI-powered language learning platform that provides 24/7 immersion with personalized AI chat-based tools. It offers a variety of features to help learners improve their speaking, grammar, and vocabulary. With over 300,000 language learners and support for 19+ languages, Langotalk is a popular choice for those looking to learn a new language or improve their existing skills.

Voz is an AI-powered language learning platform that offers AI-guided video lessons to help users master foreign languages from intermediate to advanced levels. The platform provides immersive learning experiences through real-world videos, AI tutors for speaking practice, and personalized feedback on vocabulary and grammar. Voz is designed to be cheaper and faster than traditional language learning methods, making it an effective tool for language learners of all levels.

ReadWeb.ai is a free web-based tool that provides instant multi-language translation of web pages. It allows users to translate any webpage into up to 10 different languages with just one click. ReadWeb.ai also offers a unique bilingual reading experience, allowing users to view translations in an easy-to-understand, top-and-bottom format. This makes it an ideal tool for language learners, researchers, and anyone who needs to access information from websites in different languages.

AirCaption is an AI-powered speech to text transcription tool that enables users to transcribe audio and video content quickly and efficiently. It offers the ability to generate AI captions, review and edit them, and export caption files in up to 60 languages. The application works offline, ensuring privacy by keeping media and captions on the user's computer. AirCaption is suitable for various professionals such as video editors, podcasters, language learners, legal professionals, marketers, researchers, event organizers, online course creators, and journalists.

The website offers an AI-powered application called Peech that converts text into captivating audiobooks, suitable for individuals with dyslexia, ADHD, vision disabilities, or those who prefer listening over reading. It provides features like instant audio in multiple languages, AI voice selection, diverse input formats, and smart content analysis. Peech is beneficial for both individuals and publishers, offering affordable pricing, engaging content, and high-quality audio. Users can transform web articles, e-books, and various texts into audiobooks effortlessly, reaching a wider audience. The application has received positive reviews for its effectiveness in studying, multitasking, and providing an immersive reading experience.

LingoSub is a language learning platform that allows users to learn new languages by watching videos with subtitles and AI-powered translations. With a vast library of videos in multiple languages, learners can immerse themselves in content that interests them while expanding their vocabulary and language skills. The platform offers a community of language learners, various pricing plans, and a responsive interface for seamless learning across devices.

Vokabeln.io is a website that provides resources and information related to vocabulary. It serves as a platform for users to access materials and tools to enhance their language skills, particularly in terms of learning new words and improving vocabulary. The website offers a variety of resources such as vocabulary lists, exercises, quizzes, and tips for language learners. Users can benefit from the content available on vokabeln.io to expand their vocabulary and improve their language proficiency.

Accent Guesser is a free online accent test powered by advanced AI analysis. It allows users to record their voice, receive detailed insights about their accent characteristics, and compare their accent to native speakers. The tool is ideal for professionals seeking to improve communication in international business settings, language learners tracking pronunciation progress, and individuals interested in understanding their cultural background through accent analysis.

Speak is a language learning app that focuses on improving speaking skills through interaction with an advanced AI language tutor. The app provides personalized curriculum, on-the-go conversational practice, and motivation to help users achieve fluency quickly. With a 4.8 rating and over 5 million downloads, Speak offers a versatile and interactive platform for language learners of all levels.

KardsAI is an AI-powered flashcard maker application that aims to make learning easier and more efficient. It allows users to transform any PDF, text, note, or prompt into flashcards in a snap. With features like converting PDFs to flashcards, generating flashcards from prompts, and cross-platform access, KardsAI caters to students, language learners, knowledge seekers, and trivia enthusiasts. The application saves valuable time through AI-powered flashcard creation and helps users remember information longer with a spaced repetition algorithm. KardsAI offers a freemium model, allowing users to use the app for free or upgrade for additional features at an affordable price.

KardsAI is an AI-powered flashcard maker mobile app designed to help users study smarter and more efficiently. It allows users to transform any PDF, text, note, or prompt into flashcards in a snap. With advanced AI features and a mobile-first approach, KardsAI offers exceptional quality and unique features for personalized learning experiences. The app saves valuable time by automating flashcard creation and incorporates a spaced repetition algorithm to help users remember information longer. KardsAI is suitable for students, language learners, knowledge seekers, and trivia enthusiasts, offering a wide range of functionalities to enhance learning and memory retention.

Voice Crush is an AI-powered recording application designed to enhance audio quality by eliminating background noise and stuttering. It offers a user-friendly interface for individuals looking to improve their voice recordings, whether for professional purposes or personal use. The app utilizes state-of-the-art denoising AI technology to ensure clear and crisp audio output, even in challenging acoustic environments. Voice Crush is the ultimate solution for those tired of noisy backgrounds sabotaging their recordings, providing a seamless experience for language learners, content creators, and anyone seeking to elevate their voice quality.

Easy Dictation is an AI-powered application designed to enhance English listening skills through dictation practice. Users can learn from any YouTube video without the hassle of rewinding repeatedly. The app automatically segments sentences, provides AI feedback for speaking practice, generates reports, and tracks learning progress. With features like accuracy checks, rich video sources, and easy-to-use interface, Easy Dictation offers an enjoyable learning experience for English language learners.

Pronounce is an AI-powered English speech checker designed for professionals, educators, language learners, and speech therapists. It offers instant feedback and multiple drills to help users master speaking skills, understand specific communication challenges, and track therapy progress. With features like AI-powered speech feedback, English speaking partner, confident communication tips, pronunciation correction, and vocabulary enhancement, Pronounce aims to improve users' English pronunciation, grammar, and fluency. The application provides a user-friendly interface and visually appealing experience, making it suitable for beginners and advanced speakers alike.

AirCaption is an AI-powered speech-to-text transcription tool that allows users to transcribe audio and video files efficiently. It offers features such as generating AI captions, editing text and timing, subtitle video in multiple languages, and works offline for privacy. The application caters to a wide range of users, including video editors, podcasters, language learners, legal professionals, marketers, researchers, event organizers, online course creators, and journalists. AirCaption provides a seamless transcription experience with the latest AI models from OpenAI, ensuring accurate and fast results.

Awesome-TimeSeries-SpatioTemporal-LM-LLM is a curated list of Large (Language) Models and Foundation Models for Temporal Data, including Time Series, Spatio-temporal, and Event Data. The repository aims to summarize recent advances in Large Models and Foundation Models for Time Series and Spatio-Temporal Data with resources such as papers, code, and data. It covers various applications like General Time Series Analysis, Transportation, Finance, Healthcare, Event Analysis, Climate, Video Data, and more. The repository also includes related resources, surveys, and papers on Large Language Models, Foundation Models, and their applications in AIOps.

LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) training with masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fine-tuned to achieve state-of-the-art performance.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Language Models is a Python package that provides building blocks to explore large language models with as little as 512MB of RAM. It simplifies the usage of large language models from Python, ensuring all inference is performed locally to keep data private. The package includes features such as text completions, chat capabilities, code completions, external text retrieval, semantic search, and more. It outperforms Hugging Face transformers for CPU inference and offers sensible default models with varying parameters based on memory constraints. The package is suitable for learners and educators exploring the intersection of large language models with modern software development.

Awesome-LLM-Large-Language-Models-Notes is a repository that provides a comprehensive collection of information on various Large Language Models (LLMs) classified by year, size, and name. It includes details on known LLM models, their papers, implementations, and specific characteristics. The repository also covers LLM models classified by architecture, must-read papers, blog articles, tutorials, and implementations from scratch. It serves as a valuable resource for individuals interested in understanding and working with LLMs in the field of Natural Language Processing (NLP).

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

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 |

LangChain-Udemy-Course is a comprehensive course directory focusing on LangChain, a framework for generative AI applications. The course covers various aspects such as OpenAI API usage, prompt templates, Chains exploration, callback functions, memory techniques, RAG implementation, autonomous agents, hybrid search, LangSmith utilization, microservice architecture, and LangChain Expression Language. Learners gain theoretical knowledge and practical insights to understand and apply LangChain effectively in generative AI scenarios.

ST-LLM is a temporal-sensitive video large language model that incorporates joint spatial-temporal modeling, dynamic masking strategy, and global-local input module for effective video understanding. It has achieved state-of-the-art results on various video benchmarks. The repository provides code and weights for the model, along with demo scripts for easy usage. Users can train, validate, and use the model for tasks like video description, action identification, and reasoning.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

This repository focuses on exploring tools that enhance the performance of language models for various tasks. It provides a structured list of literature relevant to tool-augmented language models, covering topics such as tool basics, tool use paradigm, scenarios, advanced methods, and evaluation. The repository includes papers, preprints, and books that discuss the use of tools in conjunction with language models for tasks like reasoning, question answering, mathematical calculations, accessing knowledge, interacting with the world, and handling non-textual modalities.

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.

This repository serves as a comprehensive survey on the application of Large Language Models (LLMs) on tabular data, focusing on tasks such as prediction, data generation, and table understanding. It aims to consolidate recent progress in this field by summarizing key techniques, metrics, datasets, models, and optimization approaches. The survey identifies strengths, limitations, unexplored territories, and gaps in the existing literature, providing insights for future research directions. It also offers code and dataset references to empower readers with the necessary tools and knowledge to address challenges in this rapidly evolving domain.

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.

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**

Differentiation advice for English Learners / Developing Bilinguals. For K-12 Teachers. EL, ESL, ELL, Bilingual, Dual Language instruction. Click a prompt below to begin:

专为法语学习者、法语留学党设计，提供翻译及场景特定建议。

A virtual mentor for ESL learners

Language and Skill Training Centers collect personal information of learners, including progress tracking and sometimes payment details.

A friendly companion for Japanese learners, encouraging language use with a focus on subculture.

Interactive language tutor for beginners to advanced learners.

Canadian language tutor for English and French learners

I'm a Language Tutor Bot for beginner Korean learners, offering personalized, engaging instruction.

Fun Portuguese tutor for young learners, adaptable to their language level.

A comprehensive multi-language dictionary for English speakers

A multilingual equity classroom bridging educational gaps by translating and adapting school tasks to fit every family's native language, language level, and cultural background. (Experimental Beta version)

Enhances English reading skills for all inclusive learners, providing supportive, engaging, and culturally sensitive content

Ink! sage for learners and coders

I am ready to help you approach curriculum design from the perspective of learners' intuitions

영어 대화, 영어 회화, 영어 학습을 효과적으로 진행할 수 있습니다. 대화를 통해 영어 실력을 단계별로 향상시킬 수 있습니다. ChatGPT 앱의 보이스 기능을 활용하여 발음 연습도 가능하며, 실시간 피드백을 통해 학습 효율을 극대화할 수 있습니다. 영어 학습자의 능력에 맞춰 학습 난이도를 조정하며, 다양한 주제에 대한 대화를 통해 영어 실력을 자연스럽게 향상시킬 수 있습니다.

Helps improve language skills through interactive scenarios and feedback.

2500+ word stories in target language with images, for language learning.

Bilingual companion for German-English translations and language learning.

A language self-assessment guide with mobile app voice interaction support.

A visual language learning aid exploring deep meanings and nuances.