Best AI tools for< Language Learner >

AnyToSpeech is an AI text-to-speech and PDF to Audiobook solution that offers a clean and simple way to convert text, PDFs, documents, scans, and images to speech. It provides a variety of realistic voices in multiple languages for users to choose from. The platform also allows users to convert URLs to speech and offers a library to save and access their generated audio files at any time.

DoryAI is an instant flashcard and quiz generator with personalized feedback. It helps users create flashcards and quizzes from various sources, including YouTube videos, PDFs, documents, and custom prompts. DoryAI also provides real-time feedback on answers to enhance learning effectiveness. It is trusted by over 1,500 users, including learners, educators, and organizations.

OI Avatar is a web-based platform that allows users to create videos using a digital representation of themselves. With OI Avatar, users can create their own speaking digital avatar in less than 5 minutes, and hear themselves speak with a proper English accent. OI Avatar is designed to help users improve their public speaking skills, practice their presentation skills, and communicate more effectively in English.

StoryLang is an AI-powered language learning tool that helps you improve your language skills by reading and listening to stories. With StoryLang, you can generate stories in the language you're learning, according to your preferences. You can choose the elements you want to appear in your stories, select your language, categories, and story style, and let the AI do the rest. Once your story is ready, you can listen to the audio version while reading the text, to help you work on your listening skills. You can also save your expressions to revisit them later. StoryLang is a great way to improve your language skills in a fun and engaging way.

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.

Paperclips is an AI-powered tool that helps users create flashcards from their course notes or any website. It automatically generates flashcards in the same language as the notes, making it easy for users to learn and review material. Paperclips also works with digital notes and can export flashcards to popular platforms like Anki and Quizlet.

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.

Quotid is a language learning app that uses AI to generate daily lessons. The lessons are designed to be manageable and realistic, especially for those with busy schedules. The content is completely AI-generated, with all of the good, and some of the bad. The diversity of speech and topics makes it a very valuable language learning partner, best used as an addition to other efforts. Apart from the daily lesson, you can sign in, track your lesson history and revisit the vocabulary you covered so far.

CallTeacher is an AI-powered language learning platform that provides personalized lessons and interactive exercises to help learners improve their speaking, listening, reading, and writing skills. The platform uses advanced speech recognition and natural language processing technologies to provide real-time feedback and tailored learning experiences. With CallTeacher, learners can access a vast library of lessons covering various topics and levels, and they can also connect with native speakers for live practice sessions.

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.

Hello Literature is an AI-powered application that allows users to chat with characters from literary masterpieces. It caters to educators, parents, students, and lifelong learners, providing an immersive and interactive experience with fictional characters. The app supports project-based learning, enhances critical thinking, and fosters discussion to make literature classes more dynamic and engaging. With realistic voice generation, Hello Literature brings the world of books to life like never before, transforming screen time into educational time for children and offering a unique dimension of literature exploration for enthusiasts and learners.

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.

Open LLMs is a repository containing various Large Language Models licensed for commercial use. It includes models like T5, GPT-NeoX, UL2, Bloom, Cerebras-GPT, Pythia, Dolly, and more. These models are designed for tasks such as transfer learning, language understanding, chatbot development, code generation, and more. The repository provides information on release dates, checkpoints, papers/blogs, parameters, context length, and licenses for each model. Contributions to the repository are welcome, and it serves as a resource for exploring the capabilities of different language models.

GPT-Subtrans is an open-source subtitle translator that utilizes large language models (LLMs) as translation services. It supports translation between any language pairs that the language model supports. Note that GPT-Subtrans requires an active internet connection, as subtitles are sent to the provider's servers for translation, and their privacy policy applies.

Chenyme-AAVT is a user-friendly tool that provides automatic video and audio recognition and translation. It leverages the capabilities of Whisper, a powerful speech recognition model, to accurately identify speech in videos and audios. The recognized speech is then translated using ChatGPT or KIMI, ensuring high-quality translations. With Chenyme-AAVT, you can quickly generate字幕 files and merge them with the original video, making video translation a breeze. The tool supports various languages, allowing you to translate videos and audios into your desired language. Additionally, Chenyme-AAVT offers features such as VAD (Voice Activity Detection) to enhance recognition accuracy, GPU acceleration for faster processing, and support for multiple字幕 formats. Whether you're a content creator, translator, or anyone looking to make video translation more efficient, Chenyme-AAVT is an invaluable tool.

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.

Weeablind is a program that uses modern AI speech synthesis, diarization, language identification, and voice cloning to dub multi-lingual media and anime. It aims to create a pleasant alternative for folks facing accessibility hurdles such as blindness, dyslexia, learning disabilities, or simply those that don't enjoy reading subtitles. The program relies on state-of-the-art technologies such as ffmpeg, pydub, Coqui TTS, speechbrain, and pyannote.audio to analyze and synthesize speech that stays in-line with the source video file. Users have the option of dubbing every subtitle in the video, setting the start and end times, dubbing only foreign-language content, or full-blown multi-speaker dubbing with speaking rate and volume matching.

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.

DaKanji is a mobile application that helps you learn Japanese. With DaKanji, you can look up words in many languages, search Kanjis by simply drawing them, add furigana to texts, and much more.

This tool utilizes the OpenAI ChatGPT API to translate text, with a focus on line-based translation, particularly for SRT subtitles. It optimizes token usage by removing SRT overhead and grouping text into batches, allowing for arbitrary length translations without excessive token consumption while maintaining a one-to-one match between line input and output.

LLaMA Factory is a unified framework for fine-tuning 100+ large language models (LLMs) with various methods, including pre-training, supervised fine-tuning, reward modeling, PPO, DPO and ORPO. It features integrated algorithms like GaLore, BAdam, DoRA, LongLoRA, LLaMA Pro, LoRA+, LoftQ and Agent tuning, as well as practical tricks like FlashAttention-2, Unsloth, RoPE scaling, NEFTune and rsLoRA. LLaMA Factory provides experiment monitors like LlamaBoard, TensorBoard, Wandb, MLflow, etc., and supports faster inference with OpenAI-style API, Gradio UI and CLI with vLLM worker. Compared to ChatGLM's P-Tuning, LLaMA Factory's LoRA tuning offers up to 3.7 times faster training speed with a better Rouge score on the advertising text generation task. By leveraging 4-bit quantization technique, LLaMA Factory's QLoRA further improves the efficiency regarding the GPU memory.

Awesome-LLM-Inference: A curated list of 📙Awesome LLM Inference Papers with Codes, check 📖Contents for more details. This repo is still updated frequently ~ 👨‍💻‍ Welcome to star ⭐️ or submit a PR to this repo!

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).

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 |

An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models（LLMs）that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?

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.

Lingo Tutor is your personal language learning companion, designed to make mastering a new language engaging, efficient, and enjoyable. LingoGPT Tutor offers interactive conversations, grammar tips, cultural insights, and much more to help you become fluent in your chosen language.

Friendly teacher for young Marysia, offering simple riddles in Polish.

Formats Quizlet quizzes for elementary English and Japanese 6th grade level.

I assist with English pronunciation using the Turkish alphabet.

Nederlandse overhoor-GPT die jou over een onderwerp kan overhoren. Je kunt ook een bestand toevoegen waar je overhoord over wilt worden.

Creates educational flashcards and integrates with Anki.

I am your english class teacher and tutor

Helps improve language skills through interactive scenarios and feedback.

Bilingual TOEIC reading coach, explains all answer choices

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

I'll analyse the difficulty of your English text, generate readings and quizzes, adapt texts in any level, and more!

Bilingual companion for German-English translations and language learning.

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

Anki Assistant

Master English Through a Pirate Adventure Game: Immerse yourself in captivating retro-style pirate adventures inspired by "The Secret of Monkey Island". This game is tailored to match your language proficiency level, allowing you to achieve English mastery one adventure at a time.

A visual language learning aid exploring deep meanings and nuances.

模拟真实语境中的单词学习体验，让你在潜移默化中“真正“学会一个单词。English learning companion, tailored to the 'Comprehensible Input Hypothesis' theory.

Learn English Words by roots.

German language resource for Anki deck creation

为帮助你记忆寒假作业中英语3000词而生

中日互译、关键词单词解析，励志短句、笑话生成，全方位语言学习体验。

专业于学习英语单词和词汇学习的最强助理。只需要输入一个单词就能够得到大量的辅助记忆单词的信息

このGPTは、英語のスピーキングパートナーとして、全ての会話を英語で行います。ユーザーが自然でない英語を使用した場合、それを指摘し、より適切な表現を提案します。また、その表現の改善点を初学者でも理解しやすい言葉で説明します。

An AI English tutor specializing in conversational skills and vocabulary building.

请按照我说的去写简短的话

Casual and strategic Scrabble game assistant.

Your friendly English practice partner.