Best AI tools for< Learn New Recipes >

Recipe Reactor is the ultimate kitchen companion that helps users unlock the full potential of their kitchen. It allows users to import, organize, plan meals, and explore new culinary horizons. With AI-powered recipe creation, effortless recipe importing, and comprehensive recipe management, Recipe Reactor simplifies, innovates, and masters the culinary world. Users can turn random ingredients into culinary masterpieces, reduce food waste, and enrich their cooking experience with educational insights.

cookAIfood is an AI-powered platform that enables users to create, share, and discover AI-generated food recipes. It allows users to explore the limitless possibilities of artificial intelligence in the kitchen. With cookAIfood, users can discover hundreds of AI-generated, innovative recipes, create their own unique recipes with just one click, share their delicious recipes and connect with other foodies, and utilize advanced tools such as diet planner, grocery lists, printable cookbooks, calorie counter, meal planning, and nutrition monitoring.

LittleCook is a web and mobile application that helps users reduce food waste and save money by providing recipes based on the ingredients they already have on hand. The app also allows users to track their food inventory, plan their meals, and learn about nutrition. LittleCook is a valuable tool for anyone who wants to cook more efficiently and sustainably.

AI Recipe Generator is a user-friendly tool that helps you create delicious meals using ingredients you already have at home. With just a few clicks, you can generate a unique recipe tailored to your preferences and dietary restrictions. The AI-powered algorithm analyzes your ingredients and suggests recipes that are both tasty and nutritious.

yourchat.ai is an AI messenger application that allows users to interact with AI characters like Monte, Greta, and Jesus. Users can chat, learn, get inspiration, and receive advice on various topics such as recipes, DIY, and more. Additionally, the application offers features like creating stunning images with PicassoME and chatting directly with AI idols. It aims to provide a platform for users to engage with AI technology in a fun and informative way.

Coursera is an online learning platform that offers courses, specializations, and degrees from top universities and companies. It provides a wide range of courses in various fields, including data science, business, computer science, health, social sciences, personal development, arts and humanities, physical science and engineering, language learning, information technology, and math and logic. Coursera also offers professional certificates and degrees that can help learners advance their careers. The platform has over 124 million users and collaborates with over 325 leading universities and companies.

Hallo is a language learning app that uses AI tutors to help users practice speaking and learning new languages. With Hallo, users can have conversations and practice with AI tutors anytime, anywhere. Hallo also offers role-play scenarios with celebrities and hundreds of topics to learn from. Users can track their progress and receive feedback from AI tutors on their fluency, grammar, and vocabulary.

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.

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.

Coursera is an online learning platform that offers courses, specializations, and degrees from top universities and companies. It provides a wide range of subjects, including business, computer science, data science, and more. Coursera also offers a variety of tools and resources to help learners succeed, such as interactive exercises, quizzes, and discussion forums.

Sociask is an AI-powered personalized learning app that offers free customized courses tailored to individual learning needs. By leveraging AI technology, Sociask creates engaging and effective learning experiences by analyzing user preferences and adapting content to match their interests, knowledge, and pace. The app provides personalized tutoring, breaks down complex topics into digestible pieces, and offers a variety of learning resources, including video lessons from top educators. Sociask aims to make education fun, efficient, and accessible to all learners.

SelfLearner is an AI-powered learning platform that provides personalized learning experiences for students of all ages. The platform uses artificial intelligence to track student progress, identify areas where they need additional support, and provide them with tailored learning materials. SelfLearner also offers a variety of interactive learning activities, such as games, simulations, and quizzes, to help students learn in a fun and engaging way.

Memrizz is an AI-powered flashcard generator that helps you create personalized flashcards for effective learning. With Memrizz, you can easily create flashcards from text, images, or audio files, and customize them to fit your learning style. Memrizz also provides spaced repetition and gamification features to make learning more engaging and efficient.

Booknotes is an AI-powered platform that provides concise and insightful summaries of popular nonfiction books. With Booknotes, you can quickly grasp the key ideas and takeaways from best-selling books in just 15 minutes or less. Our summaries are written by experts in their respective fields and are designed to help you learn and grow without having to spend hours reading entire books.

Dhime is an AI-powered dance coaching application that allows users to learn dance conveniently from expert video tutorials, practice with AI guidance and feedback, and improve their dance skills with confidence. It offers unlimited practice, personalized lessons, and continuous progress tracking for effective learning. Dhime serves as a platform for both tutors and dance academies to reach worldwide students and enhance their teaching methods. The application ensures privacy by recording and analyzing dance videos internally without sharing them externally. With Dhime, users can learn dance anytime, anywhere, and at their own pace.

Saya is an AI-powered study assistant that helps users learn and work faster. It can summarize PDF documents, YouTube videos, audio files, and Word documents, and it can also be used to search for information on the web. Saya is designed to be user-friendly and easy to use, and it can be accessed from any device with an internet connection.

Tala is an AI-powered language tutor designed for hands-on learners. It encourages free-flowing conversation early in the learning journey, focusing on natural language acquisition rather than rote memorization. With advanced speech recognition technology, Tala helps users build confidence in speaking and offers a flexible learning experience with adjustable listening speeds and easy access to look-up tools. The platform aims to make language learning engaging and immersive, allowing users to practice without fear of embarrassment and improve their pronunciation through interactive conversations.

Language Reactor is a web application that helps users learn foreign languages by watching videos with interactive subtitles. Users can hover over any word in the subtitles to see its translation, definition, and pronunciation. They can also click on any word to add it to their vocabulary list. Language Reactor also offers a variety of exercises to help users practice their listening, speaking, reading, and writing skills.

LustGF is an AI-powered virtual girlfriend simulator that allows users to create and interact with their own custom AI companions. With advanced customization options, users can design their dream girlfriend's appearance, personality, and voice. The app features uncensored AI chat, sexting, and dirty talk, as well as the ability to receive nude images and voice messages. Users can also roleplay and fall in love with their virtual partners. LustGF is available as a web app and mobile app for Android and iOS devices.

LearnSmarter.ai is a comprehensive AI-powered platform designed to enhance personal development and goal achievement. It offers a wide range of tools, resources, and personalized guidance to help users improve their mindset, cognitive skills, and decision-making abilities. With LearnSmarter.ai, individuals can access AI-powered learning tools, interact with AI characters representing industry leaders and personal coaches, and enroll in fast-track courses to accelerate their growth journey. The platform emphasizes efficient learning, practical application, and personalized support to empower users in setting clear goals, making informed decisions, solving complex problems, and taking effective actions towards their desired outcomes.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

This repository provides an LLM-driven audio codec model, LLM-Codec, for building multi-modal LLMs (text and audio modalities). The model enables frozen LLMs to achieve multiple audio tasks in a few-shot style without parameter updates. It compresses the audio modality into a well-trained LLMs token space, treating audio representation as a 'foreign language' that LLMs can learn with minimal examples. The proposed approach supports tasks like speech emotion classification, audio classification, text-to-speech generation, speech enhancement, etc., demonstrating feasibility and effectiveness in simple scenarios. The LLM-Codec model is open-sourced to facilitate research on few-shot audio task learning and multi-modal LLMs.

Convoscope is a suite of smart glasses and web tools designed to augment conversations by providing live proactive agents that answer questions, offer definitions, insights, and alternative viewpoints. It includes features like 'Mira' AI Assistant, Convoscope Proactive AI Agents, Language Learning app, Screen Mirror functionality, and upcoming features such as Live Captions, ADHD Glasses, and Live Language Translation. The tool supports various smart glasses models and Android 12+ phones, offering a unique experience for real-life conversations, meetings, and video calls.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Podman AI Lab is an open source extension for Podman Desktop designed to work with Large Language Models (LLMs) on a local environment. It features a recipe catalog with common AI use cases, a curated set of open source models, and a playground for learning, prototyping, and experimentation. Users can quickly and easily get started bringing AI into their applications without depending on external infrastructure, ensuring data privacy and security.

This repository contains recipes for building and running containerized AI and LLM applications with Podman. It provides model servers that serve machine-learning models via an API, allowing developers to quickly prototype new AI applications locally. The recipes include components like model servers and AI applications for tasks such as chat, summarization, object detection, etc. Images for sample applications and models are available in `quay.io`, and bootable containers for AI training on Linux OS are enabled.

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

A curated list of open-ended learning AI resources focusing on algorithms that invent new and complex tasks endlessly, inspired by human advancements. The repository includes papers, safety considerations, surveys, perspectives, and blog posts related to open-ended AI research.

The Alignment Handbook provides robust training recipes for continuing pretraining and aligning language models with human and AI preferences. It includes techniques such as continued pretraining, supervised fine-tuning, reward modeling, rejection sampling, and direct preference optimization (DPO). The handbook aims to fill the gap in public resources on training these models, collecting data, and measuring metrics for optimal downstream performance.

AIMET is a library that provides advanced model quantization and compression techniques for trained neural network models. It provides features that have been proven to improve run-time performance of deep learning neural network models with lower compute and memory requirements and minimal impact to task accuracy. AIMET is designed to work with PyTorch, TensorFlow and ONNX models. We also host the AIMET Model Zoo - a collection of popular neural network models optimized for 8-bit inference. We also provide recipes for users to quantize floating point models using AIMET.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

This plugin extends and creates `a`/`i` textobjects in Neovim. It enhances some builtin textobjects (like `a(`, `a)`, `a'`, and more), creates new ones (like `a*`, `a`, `af`, `a?`, and more), and allows the user to create their own (like based on treesitter, and more). It supports dot-repeat, `v:count`, different search methods, consecutive application, and customization via Lua patterns or functions. It has builtins for brackets, quotes, function call, argument, tag, user prompt, and any punctuation/digit/whitespace character.

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.

Torchtune is a PyTorch-native library for easily authoring, fine-tuning, and experimenting with LLMs. It provides native-PyTorch implementations of popular LLMs using composable and modular building blocks, easy-to-use and hackable training recipes for popular fine-tuning techniques, YAML configs for easily configuring training, evaluation, quantization, or inference recipes, and built-in support for many popular dataset formats and prompt templates to help you quickly get started with training.

This repository is a curated list of open-source libraries for production large language models. It includes tools for data preprocessing, training/finetuning, evaluation/benchmarking, serving/inference, application/RAG, testing/monitoring, and guardrails/security. The repository also provides a new category called LLM Cookbook/Examples for showcasing examples and guides on using various LLM APIs.

TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. It provides pytorch and **python-first** , low and high level abstractions for RL that are intended to be **efficient** , **modular** , **documented** and properly **tested**. The code is aimed at supporting research in RL. Most of it is written in python in a highly modular way, such that researchers can easily swap components, transform them or write new ones with little effort.

DataFrame is a C++ analytical library designed for data analysis similar to libraries in Python and R. It allows you to slice, join, merge, group-by, and perform various statistical, summarization, financial, and ML algorithms on your data. DataFrame also includes a large collection of analytical algorithms in form of visitors, ranging from basic stats to more involved analysis. You can easily add your own algorithms as well. DataFrame employs extensive multithreading in almost all its APIs, making it suitable for analyzing large datasets. Key principles followed in the library include supporting any type without needing new code, avoiding pointer chasing, having all column data in contiguous memory space, minimizing space usage, avoiding data copying, using multi-threading judiciously, and not protecting the user against garbage in, garbage out.

Expert in Easy Cantonese Dishes

Transforms food photos into detailed recipes.

Interactive guide for diverse, easy recipes with fun tips and video links.

Transforms classic recipes with alternative ingredients based on dietary needs or pantry availability.

Your go-to AI Chef for recipes, meal plans, and cooking advice🍽️ #Chef

It is an adaptive communicator and predicts unknown tastes for a wide variety of dishes.

당신만 몰랐던 이탈리아 요리의 비밀! 제 온라인 강의로 매일 다른 이탈리아 요리를 만들 수 있습니다. chatGPT 이탈리아 요리법 1위, 압도적 레시플로 집에서도 셰프처럼 요리하세요.

Your funny, friendly guide to easy meals

Experto en repostería, ofrece recetas y consejos con un tono casual y amistoso.

Vegas bartender with a twist on the classics. #Bartender #Mixology #Classic #Vegas #Cocktail

Your virtual Bourdain-style sous chef.

Assisting with Basic Cooking Techniques

Let a faux Gordon Ramsay decide your next meal

Unleash Your Inner Chef

Kids can cook

A Hong Kong cooking expert providing traditional recipes and cooking guidance.

A virtual bartender offering personalized cocktail recipes and engaging in cocktail exploration.

A friendly guide for vegan recipes and nutrition

A creative chef assistant for generating original recipes.

Your sweet guide to all things candy, from flavors to global treats.