Best AI tools for< Set Learning Goals >

Learnbase is an AI-powered learning platform designed to help users customize their educational journey. It offers tools to set learning goals, organize units, and track progress seamlessly. Users can store all resources and notes in one place, use a block-based editor for writing, and benefit from an AI-powered chat assistant for better note-taking. The platform also provides personalized learning journeys through an AI-driven learning goal generator, allowing users to define objectives and receive tailored learning units.

FavTutor AI Learning is an AI-powered tool designed to help users master programming skills through personalized learning experiences. The tool utilizes artificial intelligence algorithms to provide tailored lessons, practice exercises, and feedback to enhance the user's programming proficiency. With FavTutor AI Learning, users can improve their coding abilities at their own pace and convenience, making it an ideal platform for both beginners and experienced programmers seeking to enhance their skills.

Socra is an AI-powered platform designed to assist individuals in achieving their goals. It provides personalized guidance, helps users plan and track their progress, and offers tools to build habits and break bad ones. Socra's AI capabilities include natural language processing, machine learning, and computer vision, enabling it to understand users' goals, provide tailored recommendations, and generate insights to help them stay on track.

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.

IX Coach is an AI-powered interdisciplinary coaching platform that helps individuals and teams achieve their goals. The platform provides users with access to a network of certified coaches, as well as a variety of tools and resources to support their coaching journey.

Betterment is an automated investing platform that helps you build wealth, grow your savings, and plan for retirement. With Betterment, you can invest in a diversified portfolio of stocks and bonds, earn interest on your cash, and get personalized advice from financial experts. Betterment is a fiduciary, which means we act in your best interest. We'll help you set financial goals and set you up with investment portfolios for each goal.

FitAI is an AI-powered nutrition tracking app that helps users understand their nutritional intake and make healthier choices. The app features a variety of tools to make tracking easy, including a food recognition system, an image logging feature, and an AI trainer. FitAI is designed for health-conscious individuals who want to take control of their nutrition and improve their overall well-being.

Wave AI is a professional coaching app that provides expert-designed and tailored coaching, empowered by AI. It offers a range of coaching programs to help users overcome challenges at work, improve their leadership and management skills, and achieve their personal and professional goals. Wave AI's coaching is asynchronous, meaning users can access it on their own time and schedule. The app also provides users with progress tracking, goal setting, and learning preferences to help them get the most out of their coaching experience.

LearnMate is a revolutionary AI-integrated productivity app designed for students. It offers collaborative tools for study goal setting, assignment and task management, note-taking, and more. The app utilizes cutting-edge AI technology to enhance the learning experience and productivity of students. LearnMate is accessible on various devices, allowing seamless progress tracking and data synchronization across PCs, tablets, and mobile devices. With features like AI tutor assistance, assignment management, task lists, study notes creation, and more, LearnMate aims to revolutionize the way students study and excel in their academic endeavors.

GoDiary is a unique fitness application that utilizes proprietary machine learning algorithms to autonomously track your runs, walks, and rides. By combining GPS technology with its Autonomous Fitness Detection Engine (AFDE), GoDiary monitors your fitness activity in a battery-efficient manner. Users can set personalized goals, track their progress over time, and sync their data with Apple Health app. The app requires no user input for workout detection and provides accurate start and stop tracking. GoDiary stands out among fitness apps by offering automatic workout detection and minimizing battery drain.

BFF is an AI tool that texts you daily to discuss various aspects of your life, such as career, goals, relationships, and emotions. It serves as a responsive diary, engaging in conversations with you. With over 10,000 people on the waitlist, BFF offers AI companion options for purchase in iMessage. The tool comes in two versions - Free with GPT-3.5 for 5 messages a day and Pro for $10 a month with GPT-4, offering unlimited messages and personalized learning about you.

Faitness.io is an AI-powered platform that offers personalized workout plans tailored to individual fitness goals and preferences. By leveraging advanced machine learning algorithms and fitness science research, Faitness.io provides users with effective and safe workout routines. The platform covers a wide range of activities, including strength training, cardiovascular workouts, and flexibility training, suitable for users of all fitness levels. Faitness.io aims to revolutionize the fitness industry by making intelligent workouts accessible to everyone.

Tarteel is an AI-powered application designed to help users memorize the Quran more effectively. It offers features such as mistake detection, memorization planning, setting goals, and a premium experience. With Tarteel, users can tailor their memorization journey to their learning style and preferences, track their progress, and receive real-time alerts for missed, incorrect, and skipped words in their recitation. The application aims to provide a seamless and personalized Quran memorization experience for users of all levels.

Peoplelogic is a suite of AI-enabled people and performance tools that helps businesses grow their people, cultivate better leaders, and increase business efficiency. The platform includes tools for driving strategic alignment, making data-driven people decisions, and building a culture of high performance and trust. Peoplelogic is used by over 1,200 organizations to improve employee engagement, reduce burnout, and optimize their people, process, and technology.

Luminaries is a world-class coaching platform powered by AI. It connects users with expert coaches who can help them achieve their personal and professional goals. Luminaries offers a variety of coaching programs, including career coaching, leadership coaching, and executive coaching. The platform also provides users with access to a library of resources, including articles, videos, and podcasts.

ConquerortheCrown is an AI-powered mentor that provides guidance and support to users. It is designed to help users achieve their goals and live a more fulfilling life. ConquerortheCrown uses a variety of AI techniques to provide personalized advice and support to users. It can help users with a variety of tasks, including setting goals, making decisions, and overcoming challenges.

StudyShift is a revolutionary collaborative productivity tool specifically designed for students. It is made to make students more efficient and productive. It works everywhere, whether on a PC, tablet, or mobile device. With StudyShift, students can set their study goals and track their progress efficiently. They can also manage their assignments, create documents, collaborate with others, and manage their tasks. StudyShift also includes an AI tutor that can answer questions on any subject. It is a revolutionary suite of productivity tools and apps for learners that works everywhere, whether on a PC, tablet, or mobile device.

Empaithy is an AI-powered mental wellbeing companion that helps users reflect, understand, and enhance their mental health. It offers features such as micro-journaling, insightful analytics, AI-powered guidance, and robust privacy and security. Empaithy's AI is designed to understand and respond to emotions, mirroring human empathy and providing real-time support and insights.

Neurture is an affordable habit coach available 24/7 to help you change. It uses research-based therapeutic methods adapted to change your specific habits. Habit coaching is integrated with meditations, journal entries, and affirmations. Your progress stays private, stored on your device. You can get coaching about habits you care about, including use of alcohol, caffeine, smoking, social media, impulsive shopping, pornography, gaming, technology, and many more.

Kippy is an AI language tutor application that allows users to practice speaking in various languages anytime, anywhere. It offers real-life conversations, pronunciation improvement, progress tracking, unlimited conversations powered by ChatGPT, natural human-like voices, instant 2-way translation, personal phrasebooks, and more. Users can engage in role-playing scenarios, test their pronunciation, track their vocabulary growth, and set daily speaking goals. The app supports English, Spanish, German, Italian, French, Korean, Japanese, Chinese, and Russian languages.

A set of instructional materials, code samples and Python scripts featuring LLMs (GPT etc) through interfaces like llamaindex, langchain, Chroma (Chromadb), Pinecone etc. Mainly used to store reference code for my LangChain tutorials on YouTube.

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

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

Nerve is a tool that allows creating stateful agents with any LLM of your choice without writing code. It provides a framework of functionalities for planning, saving, or recalling memories by dynamically adapting the prompt. Nerve is experimental and subject to changes. It is valuable for learning and experimenting but not recommended for production environments. The tool aims to instrument smart agents without code, inspired by projects like Dreadnode's Rigging framework.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

MachinaScript For Robots is a dynamic set of tools and a LLM-JSON-based language designed to empower humans in the creation of their own robots. It facilitates the animation of generative movements, the integration of personality, and the teaching of new skills with a high degree of autonomy. With MachinaScript, users can control a wide range of electronic components, including Arduinos, Raspberry Pis, servo motors, cameras, sensors, and more. The tool enables the creation of intelligent robots accessible to everyone, allowing for complex tasks to be performed with elegance and precision.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

A package to help benchmark various LLM related tasks. The benchmarks are organized by end-to-end use cases, and utilize LangSmith heavily. We have several goals in open sourcing this: * Showing how we collect our benchmark datasets for each task * Showing what the benchmark datasets we use for each task is * Showing how we evaluate each task * Encouraging others to benchmark their solutions on these tasks (we are always looking for better ways of doing things!)

Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.

This repository contains code and data for replicating experiments on Long-Term Memory (LTM) abilities of conversational agents. It includes a benchmark for testing agents' memory performance over long conversations, evaluating tasks requiring dynamic memory upkeep and information integration. The repository supports various models, datasets, and configurations for benchmarking and reporting results.

SiLLM is a toolkit that simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework. It provides features such as LLM loading, LoRA training, DPO training, a web app for a seamless chat experience, an API server with OpenAI compatible chat endpoints, and command-line interface (CLI) scripts for chat, server, LoRA fine-tuning, DPO fine-tuning, conversion, and quantization.

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.

MaxText is a high-performance, highly scalable, open-source LLM written in pure Python/Jax and targeting Google Cloud TPUs and GPUs for training and inference. MaxText achieves high MFUs and scales from single host to very large clusters while staying simple and "optimization-free" thanks to the power of Jax and the XLA compiler. MaxText aims to be a launching off point for ambitious LLM projects both in research and production. We encourage users to start by experimenting with MaxText out of the box and then fork and modify MaxText to meet their needs.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀

LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.

MaxText is a high performance, highly scalable, open-source Large Language Model (LLM) written in pure Python/Jax targeting Google Cloud TPUs and GPUs for training and inference. It aims to be a launching off point for ambitious LLM projects in research and production, supporting TPUs and GPUs, models like Llama2, Mistral, and Gemma. MaxText provides specific instructions for getting started, runtime performance results, comparison to alternatives, and features like stack trace collection, ahead of time compilation for TPUs and GPUs, and automatic upload of logs to Vertex Tensorboard.

Dynamic learning guide, fostering curiosity and intellectual growth.

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

I help break down learning goals into manageable steps.

Language & culture coach, offering structured learning paths.

詳細な取材を元に制作されたパターン・ランゲージを参考にして、大人の学びを支援するコーチングを提供します。このBotは、株式会社クリエイティブシフトの支援のもと独立行政法人情報処理推進機構 デジタル人材センターが制作した「大人の学びのパターン・ランゲージ（略称まなパタ）」をKnowledge機能で参照しています（URL：https://www.ipa.go.jp/jinzai/skill-transformation/henkaku/manapata.html） #生涯学習 #勉強のモチベーション

나만의 학습 어드바이저, iLearn

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A guide for youth to learn practical life skills.

Entrepreneurs can get distracted easily and form bad habits. This GPT helps you adopt rich habits and get rich by doing so.

Reflecting on your past year and the year ahead. Get a PDF version at yearcompass.com

AI Personal Growth Coach

一个可以深度倾听你，帮助你达成生活目标的人生教练

Narrative-driven coach for healthy living

Bonjour ! Je suis Coach Courbis, votre entraîneur de football virtuel personnalisé.

Get coached as a top-executive by Wave.ai, trained since 2019 by coaching professionals

Insightful digital therapist

I will create a quality data set for a personality AI, just dive into each module by saying the name of it and do so for all the modules. If you find it useful, share it to your friends

Playful and informative guide on swing sets for outdoor play.

MIPS.