Best AI tools for< Find A Recipe >

AI TOOL GURU is the best and largest AI tools directory providing news and education in one place for Artificial Intelligence Tools. Users can find a variety of AI tools, stay updated with AI events, influencers, and news, and engage with the AI community. The platform offers a range of AI tools for different purposes, from chatbots to product photography apps, recipe generators, and more.

Let's Foodie is the ultimate resource for foodies across the globe. It provides a free AI recipe generator that can turn any list of ingredients into a recipe instantly. The website also features a variety of articles on cooking techniques, methods, FAQs, and ingredients. Users can search for anything foodie-related using the search box. The website also includes a section on top comparisons, where users can compare different ingredients, dishes, and cooking methods.

Prospre is a meal planning app that helps users create personalized meal plans based on their calorie and macro goals. The app also includes a macro tracker, a recipe database, and a grocery list generator. Prospre is designed to make it easy for users to eat healthy and reach their fitness goals.

MealsAI is an AI-powered recipe generator that helps users create delicious and unique meals with just a few clicks. With MealsAI, users can specify their dietary restrictions, ingredients on hand, and desired cooking time, and the AI will generate a personalized recipe that meets their needs. MealsAI also offers a variety of pre-made recipes that users can browse and share. Whether you're a beginner cook or a seasoned chef, MealsAI can help you create amazing meals that everyone will enjoy.

AiPhoto.recipes is a web application that helps users create healthy meals using the ingredients they have on hand. Users simply take a photo of their ingredients and the app will provide them with three high-protein recipes that they can prepare. The app is integrated with Telegram, so users can access it without having to download any additional software. AiPhoto.recipes is a great tool for busy people who want to eat healthy meals without having to spend a lot of time planning and shopping.

ScrappyChef is an AI-powered application that helps users turn leftovers into creative meals. The platform offers a variety of recipes and meal ideas based on the ingredients available to the user. By utilizing artificial intelligence, ScrappyChef provides personalized suggestions and recommendations to make cooking more efficient and enjoyable. Users can subscribe to access more recipes and take advantage of the platform's innovative features.

MyMealPlan is an AI-powered meal planning app that helps users create personalized meal plans based on their dietary preferences, allergies, and restrictions. The app offers a variety of recipes from celebrity chefs and curates a list of the best recipes from the web. MyMealPlan also provides users with a grocery list to make shopping for meals easier.

Crumb is an AI food generator application that helps users create unique and delicious recipes by transforming their available ingredients. Users can simply dictate their ingredients to the AI tool, which then generates recipes to inspire everyday cooking and reduce food waste. With a variety of recipe ideas and tips available on the blog, Crumb aims to make cooking more creative and convenient for users.

Grocer AI is a grocery shopping assistant that uses artificial intelligence to help users find recipes, create shopping lists, and set dietary goals. The app is easy to use and can be accessed via text message or through the website. Grocer AI is a valuable tool for anyone who wants to save time and money on their grocery shopping. Grocer AI offers a variety of features that make it a great choice for grocery shoppers. These features include: * Easy text interface: Grocer AI can be used via text message, making it easy to use for everyone, everywhere, everytime. * Usable for everyone: Grocer AI is designed to be used by people of all ages and abilities. * No more researching recipes from the grocery store: Grocer AI provides users with a variety of recipes to choose from, eliminating the need to research recipes from the grocery store. Grocer AI also offers a number of advantages over other grocery shopping apps. These advantages include: * Time-saving: Grocer AI can save users time by helping them find recipes and create shopping lists. * Money-saving: Grocer AI can help users save money by providing them with coupons and discounts. * Healthy eating: Grocer AI can help users eat healthier by providing them with recipes that meet their dietary goals. While Grocer AI is a great tool for grocery shoppers, it does have some disadvantages. These disadvantages include: * Limited selection of recipes: Grocer AI does not offer a wide variety of recipes to choose from. * Not all stores are supported: Grocer AI does not support all grocery stores. * Can be buggy: Grocer AI can sometimes be buggy, which can be frustrating for users. Overall, Grocer AI is a valuable tool for grocery shoppers. The app is easy to use, offers a variety of features, and can save users time and money. However, Grocer AI does have some disadvantages that users should be aware of before using the app. Here are some frequently asked questions about Grocer AI: * Q: How much does Grocer AI cost? * A: Grocer AI is free to use. * Q: What stores does Grocer AI support? * A: Grocer AI supports a variety of grocery stores, including Walmart, Kroger, and Target. * Q: How do I use Grocer AI? * A: To use Grocer AI, simply text (877) 591-5230 to get started.

OH, a potato! is a meal planning app that helps you find, save, and plan recipes using ingredients you already have. It also allows you to create a shared grocery list with others and keep track of what's in your fridge. The app is powered by Chat GPT, which makes it easy to find recipes that fit your dietary needs and preferences.

Infinite Meals is a web application that provides users with a new meal idea every day. It is powered by GPT-3.5-Turbo-1106 from Open AI. The application is designed to help users find new and exciting recipes to cook. It offers a variety of features, including the ability to search for recipes by category, ingredient, or cuisine. Users can also save their favorite recipes and create meal plans.

CookMe is an AI-powered cooking assistant designed to help users with meal planning, recipe suggestions, and cooking instructions. The application utilizes advanced algorithms to provide personalized recommendations based on user preferences and dietary restrictions. With a user-friendly interface, CookMe aims to simplify the cooking process for both beginners and experienced chefs, offering a wide range of recipes and cooking tips. Whether you're looking for quick meal ideas or gourmet recipes, CookMe has you covered.

FoodAI.app is an AI-powered application that helps users generate cooking recipes based on the ingredients they have. Users can select the ingredients they want to use, and the AI will provide them with recipes using those ingredients. The application offers options to filter results based on dietary preferences, regions, and additional ingredients. With a user-friendly interface, FoodAI.app aims to simplify the cooking process and inspire creativity in the kitchen.

AI Meal Planner is a personalized AI-powered meal planning tool that generates customized meal plans based on your dietary needs and preferences. It provides dynamic meal suggestions, interactive recipes, and convenient grocery lists, all tailored to your taste, health goals, and seasonality.

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.

Reel2Recipe is an AI-powered tool that helps you create recipes from videos. Simply upload a video of your favorite dish, and Reel2Recipe will generate a step-by-step recipe for you. You can also search for recipes by ingredient, cuisine, or dietary restriction.

MealGenie is an AI recipe generator that helps users discover new and healthy recipes using artificial intelligence technology. The platform offers a wide range of recipes, from spooky desserts to savory dishes, all created with the assistance of AI algorithms. Users can explore random recipes or browse the latest additions to find inspiration for their next culinary adventure. MealGenie aims to revolutionize the way people approach cooking by providing innovative and delicious recipe suggestions tailored to individual preferences.

ScanMyKitchen is an AI-powered application designed to help users create delicious meals using ingredients from their fridge. The app offers a variety of traditional and AI-powered recipe suggestions, customizable filters based on diet preferences, and alternative recipes for flexibility. Users can also utilize the camera scanning feature to scan ingredients and access recipe text or video tutorials. The mission of ScanMyKitchen is to inspire users to cook delicious meals, reduce food waste, save money, and benefit the planet. The app aims to simplify the cooking process and provide a seamless experience for users without the need for sign-ups.

Peqaboo is an AI-powered pet social app designed to help pet owners with various aspects of pet care. The app allows users to ask Boo AI questions about their pets, identify toxic plants or foods, and receive instant answers based on their pet's profile. Peqaboo also offers a feature to train a new Boo AI, enabling users to transform their knowledge into AI tools. The app aims to make pet life easier and more enjoyable by providing personalized pet care advice and fostering a global pet community.

HeyPat.AI is an AI-powered chat application that provides instant answers on news, sports scores, recipes, travel plans, fitness routines, and more, directly from your favorite messaging apps. It serves as your real-time AI insight companion, offering a convenient way to access information and assistance on various topics. The application is designed to enhance user experience and streamline communication by leveraging artificial intelligence technology.

1.5-Pints is a repository that provides a recipe to pre-train models in 9 days, aiming to create AI assistants comparable to Apple OpenELM and Microsoft Phi. It includes model architecture, training scripts, and utilities for 1.5-Pints and 0.12-Pint developed by Pints.AI. The initiative encourages replication, experimentation, and open-source development of Pint by sharing the model's codebase and architecture. The repository offers installation instructions, dataset preparation scripts, model training guidelines, and tools for model evaluation and usage. Users can also find information on finetuning models, converting lit models to HuggingFace models, and running Direct Preference Optimization (DPO) post-finetuning. Additionally, the repository includes tests to ensure code modifications do not disrupt the existing functionality.

LongRecipe is a tool designed for efficient long context generalization in large language models. It provides a recipe for extending the context window of language models while maintaining their original capabilities. The tool includes data preprocessing steps, model training stages, and a process for merging fine-tuned models to enhance foundational capabilities. Users can follow the provided commands and scripts to preprocess data, train models in multiple stages, and merge models effectively.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

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.

LLMOps with Prompt flow is a template and guidance for building LLM-infused apps using Prompt flow. It provides centralized code hosting, lifecycle management, variant and hyperparameter experimentation, A/B deployment, many-to-many dataset/flow relationships, multiple deployment targets, comprehensive reporting, BYOF capabilities, configuration-based development, local prompt experimentation and evaluation, endpoint testing, and optional Human-in-loop validation. The tool is customizable to suit various application needs.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

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

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

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

Welcome to our Awesome-llm-safety repository! We've curated a collection of the latest, most comprehensive, and most valuable resources on large language model safety (llm-safety). But we don't stop there; included are also relevant talks, tutorials, conferences, news, and articles. Our repository is constantly updated to ensure you have the most current information at your fingertips.

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?

Kairon is an open-source conversational digital transformation platform that helps build LLM-based digital assistants at scale. It provides a no-coding web interface for adapting, training, testing, and maintaining AI assistants. Kairon focuses on pre-processing data for chatbots, including question augmentation, knowledge graph generation, and post-processing metrics. It offers end-to-end lifecycle management, low-code/no-code interface, secure script injection, telemetry monitoring, chat client designer, analytics module, and real-time struggle analytics. Kairon is suitable for teams and individuals looking for an easy interface to create, train, test, and deploy digital assistants.

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.

LLM Foundry is a codebase for training, finetuning, evaluating, and deploying LLMs for inference with Composer and the MosaicML platform. It is designed to be easy-to-use, efficient _and_ flexible, enabling rapid experimentation with the latest techniques. You'll find in this repo: * `llmfoundry/` - source code for models, datasets, callbacks, utilities, etc. * `scripts/` - scripts to run LLM workloads * `data_prep/` - convert text data from original sources to StreamingDataset format * `train/` - train or finetune HuggingFace and MPT models from 125M - 70B parameters * `train/benchmarking` - profile training throughput and MFU * `inference/` - convert models to HuggingFace or ONNX format, and generate responses * `inference/benchmarking` - profile inference latency and throughput * `eval/` - evaluate LLMs on academic (or custom) in-context-learning tasks * `mcli/` - launch any of these workloads using MCLI and the MosaicML platform * `TUTORIAL.md` - a deeper dive into the repo, example workflows, and FAQs

This repository, Online RLHF, focuses on aligning large language models (LLMs) through online iterative Reinforcement Learning from Human Feedback (RLHF). It aims to bridge the gap in existing open-source RLHF projects by providing a detailed recipe for online iterative RLHF. The workflow presented here has shown to outperform offline counterparts in recent LLM literature, achieving comparable or better results than LLaMA3-8B-instruct using only open-source data. The repository includes model releases for SFT, Reward model, and RLHF model, along with installation instructions for both inference and training environments. Users can follow step-by-step guidance for supervised fine-tuning, reward modeling, data generation, data annotation, and training, ultimately enabling iterative training to run automatically.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.

A knowledgeable guide on liquor.

A helpful assistant for daily problem-solving, offering practical advice and creative solutions.

Your guide to traditional Puchero de la Abuela

Exploring Southern culture, traditions, and cuisine with warmth.

AI friend, expert on Argentine culture

The Great (Pretrained Transformer) Bake Off Challenge! Bake a cake, Get roasted by Ai. Type K to view all game modes. v1.0

Vegetarische Rezepte in Reimen und Bildern mit historischem Charme!

主にカレーについてとあとほんの少し他のことを喋ります

This application finds recipes on the web based on a request and then removes all the SEO, leaving you with just a recipe.

It generates a recipe by entering the ingredients you have via text or by uploading an image. 家にある材料を入力したり、画像をアップロードすることでレシピを教えてくれます。

A culinary expert in veganizing recipes! Simply tell me what you would like Veganized and I'll give you a recipe and image.

A friendly recipe generator specializing in allergy-friendly and dietary-specific meals.

Cricket AI with a secret recipe for cricket info and odds.

I pair every recipe with a visual aid for an enhanced cooking experience.

A traditional pasta recipe advisor from Italy

A garlic-loving recipe bot that spices up your cooking!

"안녕하세요, 저는 Mr.Lee입니다." If you upload a photo of Korean food, I will tell you the recipe for that dish.

Generates delicious, dietetic recipes with a max of 600 calories per portion.

I provide recipes from the BeBalanced 'Becoming Balanced' program.

A chef who crafts unique vegan recipes backed by industry professionals.