Best AI tools for< Learn Something New >

Coursable is an AI-powered student workspace designed to enhance learning experiences. It leverages artificial intelligence to provide personalized study recommendations, track progress, and offer interactive learning tools. With Coursable, students can access a virtual study companion that adapts to their learning style and pace, making studying more efficient and engaging. The platform aims to revolutionize traditional learning methods by incorporating AI technology to support students in achieving their academic goals.

Wiser Media is an AI-powered platform that offers customised learning solutions for businesses and individuals. It provides individualised learning paths, real-time monitoring, and an organisational knowledge base. With over 200K learners, Wiser Media delivers personalised daily newsletters tailored to each employee's learning goals and organisational objectives, including podcasts, videos, newsletters, and books. The platform aims to optimize employee performance by streamlining knowledge management and upskilling, ultimately transforming lost time into productive growth.

Facts Generator AI is a free innovative online tool designed to quench the thirst for knowledge of curious minds across the globe. This cutting-edge platform harnesses the power of artificial intelligence to generate accurate, interesting, and diverse facts about a wide array of subjects ranging from the mysteries of the universe to historical events, scientific discoveries, cultural nuances, and much more. Whether you're a student seeking to broaden your horizons, a teacher looking to enrich your lessons, a content creator in search of inspiration, or simply a trivia enthusiast eager to learn something new every day, Facts Generator AI is tailored to meet your needs. With an intuitive interface and a sophisticated AI at its core, this tool offers a seamless and engaging experience, making the exploration of knowledge both effortless and fascinating.

ReaderMax is a Chrome extension that uses AI to summarize news articles and other text-based content. It helps users save time and improve their reading comprehension by providing concise, easy-to-understand summaries of long and complex articles. ReaderMax is available as a Chrome extension and a side panel in the Chrome browser.

GPTkids is a universal AI-powered assistant for schoolchildren and their parents. It offers a wide range of educational, entertainment, and inspirational content, including homework help, language learning, creative writing, and more. GPTkids is designed to make learning fun and engaging, and it can be used by children of all ages. With GPTkids, children can learn at their own pace and explore their interests in a safe and supportive environment.

StoryNest.ai is an AI-powered platform that allows users to create, share, and read interactive novels and stories. With StoryNest.ai, users can create their own branching storylines, add characters, and write dialogue. Readers can then choose their own path through the story, making choices that affect the outcome. StoryNest.ai also offers a library of pre-written stories that users can read and interact with.

Red Ventures is a digital media and technology company that helps people make informed decisions about their lives. The company's portfolio of brands includes Bankrate, CNET, The Points Guy, and Lonely Planet. Red Ventures also operates a number of other businesses, including a performance marketing platform and a consumer healthcare platform. The company's mission is to simplify online experiences through premium content, consumer marketplaces and advice, strategic partnerships, AI-driven digital marketing, and world-class intelligence/analytics.

Chord is an AI-powered research assistant that helps you find information on any topic. Simply enter a topic of interest and Chord will generate a personalized article that synthesizes the most relevant and authentic sources from across the web. Chord is designed to make research faster, easier, and more efficient.

Theodore AI is an AI-powered tool that helps users understand complex topics quickly and easily. With just three clicks, users can get a clear and concise explanation of any topic, making it perfect for students, researchers, and anyone who wants to learn something new.

Maimovie is an AI-powered movie and TV show search engine that helps users find content based on their specific moods or contexts. It offers an infinite number of personal recommendations based on user preferences, as well as live-updated AI curation of movie and TV show rankings trending on popular streaming services. Maimovie provides detailed information about each movie and TV show, including plot, available streaming services, ratings, cast, crew, and similar movies.

Careered is a free AI-powered cover letter generator that helps job seekers create professional cover letters in seconds. By pasting in a job posting and your resume, Careered's AI will generate a tailored cover letter that highlights your skills and experience. Careered also provides a library of resume examples, cover letters, and articles to help job seekers get hired.

Buoy Health is an AI-powered symptom checker and health information platform. It provides users with personalized health information and guidance based on their symptoms and medical history. Buoy Health's AI technology helps users to identify potential health issues and find the right care options. The platform also offers a variety of health-related content, including articles, videos, and quizzes.

EDEN AI by EVA AI is a platform that allows users to create and connect with virtual AI partners. These partners are designed to listen, respond, and appreciate users, providing them with a safe and supportive space to explore their desires. EDEN AI's virtual partners are powered by advanced AI technology, which allows them to engage in natural and realistic conversations with users. They can also learn and adapt to users' preferences over time, providing them with a personalized and tailored experience.

Scribble Diffusion is an open-source project from Replicate that allows users to turn their sketches into refined images using AI. Users can draw something on the website and the AI will generate a more refined version of the image.

Playground AI is a multi-functional AI image generation tool and general purpose AI chatbot that allows you to create incredible AI art and images using Stable Diffusion and chat with different AI language models including ChatGPT, Cohere, and more. Easily create art, use one of our pre-made templates, generate custom art prompts, apply filters, change image sizes and design parameters using one of 10 AI art models based on Stable Diffusion. Chat with different AI large language models to help with getting work done, planning a trip, or having a conversation about something you want to learn more about. Playground AI makes it easy to save and access your past conversation histories or the art you created. With one click you can share online, copy and paste, and favorite conversations.

Virtuozy Pro is an AI-powered music assistant that helps musicians of all levels create, produce, and master their music. With its intuitive interface and powerful features, Virtuozy Pro makes it easy to generate chords, lyrics, and complete songs in a variety of genres. Whether you're a beginner looking to learn the basics of music theory or a professional musician looking to streamline your workflow, Virtuozy Pro has something to offer everyone.

Gift Recommender is an AI-powered application designed to assist users in finding the perfect gift for their loved ones. By providing basic information about the recipient such as name, age, gender, price range, and interests, the AI generates personalized gift recommendations. The system learns from user feedback to continuously improve its suggestions. While the AI provides recommendations, it acknowledges that the best gift is often something personal and encourages users to provide feedback for better training.

Learn Prompting is a free, open-source course that teaches you how to communicate with AI effectively and safely. It covers everything from the basics of AI communication to more advanced techniques, such as prompt engineering and gradient-based techniques. Learn Prompting also has a large Discord community of people who are interested in learning how to prompt. This makes it a great resource for anyone who wants to learn more about AI and how to use it effectively.

Hayai Learn is an AI-powered platform designed to help users learn Japanese quickly and effectively by immersing them in Japanese content such as YouTube videos. The platform utilizes AI technology to assist users in acquiring new vocabulary and grammar effortlessly. By offering features like word learning from subtitles, providing relevant word meanings, offering video examples for better memory association, and assisting with sentence mining, Hayai Learn aims to revolutionize the way Japanese is learned by making it fun and engaging.

Learn Languages AI is a language learning tool that uses artificial intelligence to help users learn new languages. The tool is built on Telegram and allows users to speak, text, and play with an AI teacher. Learn Languages AI is designed to help users reach all of their language learning goals. The tool is free to use and does not require an account.

Yet Another Applied LLM Benchmark is a collection of diverse tests designed to evaluate the capabilities of language models in performing real-world tasks. The benchmark includes tests such as converting code, decompiling bytecode, explaining minified JavaScript, identifying encoding formats, writing parsers, and generating SQL queries. It features a dataflow domain-specific language for easily adding new tests and has nearly 100 tests based on actual scenarios encountered when working with language models. The benchmark aims to assess whether models can effectively handle tasks that users genuinely care about.

MediaAI is a repository containing lectures and materials for Aalto University's AI for Media, Art & Design course. The course is a hands-on, project-based crash course focusing on deep learning and AI techniques for artists and designers. It covers common AI algorithms & tools, their applications in art, media, and design, and provides hands-on practice in designing, implementing, and using these tools. The course includes lectures, exercises, and a final project based on students' interests. Students can complete the course without programming by creatively utilizing existing tools like ChatGPT and DALL-E. The course emphasizes collaboration, peer-to-peer tutoring, and project-based learning. It covers topics such as text generation, image generation, optimization, and game AI.

Toolio is an OpenAI-like HTTP server API implementation that supports structured LLM response generation, making it conform to a JSON schema. It is useful for reliable tool calling and agentic workflows based on schema-driven output. Toolio is based on the MLX framework for Apple Silicon, specifically M1/M2/M3/M4 Macs. It allows users to host MLX-format LLMs for structured output queries and provides a command line client for easier usage of tools. The tool also supports multiple tool calls and the creation of custom tools for specific tasks.

AlwaysReddy is a simple LLM assistant with no UI that you interact with entirely using hotkeys. It can easily read from or write to your clipboard, and voice chat with you via TTS and STT. Here are some of the things you can use AlwaysReddy for: - Explain a new concept to AlwaysReddy and have it save the concept (in roughly your words) into a note. - Ask AlwaysReddy "What is X called?" when you know how to roughly describe something but can't remember what it is called. - Have AlwaysReddy proofread the text in your clipboard before you send it. - Ask AlwaysReddy "From the comments in my clipboard, what do the r/LocalLLaMA users think of X?" - Quickly list what you have done today and get AlwaysReddy to write a journal entry to your clipboard before you shutdown the computer for the day.

This repository contains community-driven practical examples of building AI applications and solving various tasks with AI using open-source tools and models. Everyone is welcome to contribute, and we value everybody's contribution! There are several ways you can contribute to the Open-Source AI Cookbook: Submit an idea for a desired example/guide via GitHub Issues. Contribute a new notebook with a practical example. Improve existing examples by fixing issues/typos. Before contributing, check currently open issues and pull requests to avoid working on something that someone else is already working on.

Jupyter Quant is a dockerized environment tailored for quantitative research, equipped with essential tools like statsmodels, pymc, arch, py_vollib, zipline-reloaded, PyPortfolioOpt, numpy, pandas, sci-py, scikit-learn, yellowbricks, shap, optuna, and more. It provides Interactive Broker connectivity via ib_async and includes major Python packages for statistical and time series analysis. The image is optimized for size, includes jedi language server, jupyterlab-lsp, and common command line utilities. Users can install new packages with sudo, leverage apt cache, and bring their own dot files and SSH keys. The tool is designed for ephemeral containers, ensuring data persistence and flexibility for quantitative analysis 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.

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

UglyFeed is a simple Python application designed to retrieve, aggregate, filter, rewrite, evaluate, and serve content (RSS feeds) written by a large language model. It provides features such as retrieving RSS feeds, aggregating feed items by similarity, rewriting content using various APIs, saving rewritten feeds to JSON files, converting JSON to valid RSS feed, serving XML feed via an HTTP server, deploying XML feed to GitHub or GitLab, and evaluating generated content. The tool can be used for smart content curation, dynamic blog generation, interactive educational tools, personalized reading experiences, brand monitoring, multilingual content delivery, enhanced RSS feeds, creative writing assistance, content repurposing, and fake news detection datasets. It is modular, extensible, and aims to empower users in content manipulation and delivery.

Vectara Answer is a sample app for Vectara-powered Summarized Semantic Search (or question-answering) with advanced configuration options. For examples of what you can build with Vectara Answer, check out Ask News, LegalAid, or any of the other demo applications.

ClearML Serving is a command line utility for model deployment and orchestration, enabling model deployment including serving and preprocessing code to a Kubernetes cluster or custom container based solution. It supports machine learning models like Scikit Learn, XGBoost, LightGBM, and deep learning models like TensorFlow, PyTorch, ONNX. It provides a customizable RestAPI for serving, online model deployment, scalable solutions, multi-model per container, automatic deployment, canary A/B deployment, model monitoring, usage metric reporting, metric dashboard, and model performance metrics. ClearML Serving is modular, scalable, flexible, customizable, and open source.

HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.

Knowledge is a tool for saving, searching, accessing, exploring and chatting with all of your favorite websites, documents and files. Dive into a more interactive learning experience with Knowledge's new Chat feature! Engage in dynamic conversations with your Projects and Sources, leveraging the power of Large Language Models. The Chat feature is designed to transform the way you interact with your data, offering a more engaging and exploratory approach to learning. Unleash the power of context with the built-in Chromium browser. Transform your browsing into knowledge gathering effortlessly.

LlamaBot is a Pythonic bot interface to Large Language Models (LLMs), providing an easy way to experiment with LLMs in Jupyter notebooks and build Python apps utilizing LLMs. It supports all models available in LiteLLM. Users can access LLMs either through local models with Ollama or by using API providers like OpenAI and Mistral. LlamaBot offers different bot interfaces like SimpleBot, ChatBot, QueryBot, and ImageBot for various tasks such as rephrasing text, maintaining chat history, querying documents, and generating images. The tool also includes CLI demos showcasing its capabilities and supports contributions for new features and bug reports from the community.

Awesome LLM Courses is a curated list of online courses focused on Large Language Models (LLMs). The repository aims to provide a comprehensive collection of free available courses covering various aspects of LLMs, including fundamentals, engineering, and applications. The courses are suitable for individuals interested in natural language processing, AI development, and machine learning. The list includes courses from reputable platforms such as Hugging Face, Udacity, DeepLearning.AI, Cohere, DataCamp, and more, offering a wide range of topics from pretraining LLMs to building AI applications with LLMs. Whether you are a beginner looking to understand the basics of LLMs or an intermediate developer interested in advanced topics like prompt engineering and generative AI, this repository has something for everyone.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

Cognee is an open-source framework designed for creating self-improving deterministic outputs for Large Language Models (LLMs) using graphs, LLMs, and vector retrieval. It provides a platform for AI engineers to enhance their models and generate more accurate results. Users can leverage Cognee to add new information, utilize LLMs for knowledge creation, and query the system for relevant knowledge. The tool supports various LLM providers and offers flexibility in adding different data types, such as text files or directories. Cognee aims to streamline the process of working with LLMs and improving AI models for better performance and efficiency.

This repository is a compilation of excellent ML and DL tutorials created by various individuals and organizations. It covers a wide range of topics, including machine learning fundamentals, deep learning, computer vision, natural language processing, reinforcement learning, and more. The resources are organized into categories, making it easy to find the information you need. Whether you're a beginner or an experienced practitioner, you're sure to find something valuable in this repository.

Jupyter Quant is a dockerized environment tailored for quantitative research, equipped with essential tools like statsmodels, pymc, arch, py_vollib, zipline-reloaded, PyPortfolioOpt, numpy, pandas, sci-py, scikit-learn, yellowbricks, shap, optuna, ib_insync, Cython, Numba, bottleneck, numexpr, jedi language server, jupyterlab-lsp, black, isort, and more. It does not include conda/mamba and relies on pip for package installation. The image is optimized for size, includes common command line utilities, supports apt cache, and allows for the installation of additional packages. It is designed for ephemeral containers, ensuring data persistence, and offers volumes for data, configuration, and notebooks. Common tasks include setting up the server, managing configurations, setting passwords, listing installed packages, passing parameters to jupyter-lab, running commands in the container, building wheels outside the container, installing dotfiles and SSH keys, and creating SSH tunnels.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

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