Best AI tools for< Self-improvement >

MOTIV8 is an AI-powered self-growth planner application designed to help individuals explore ideas, organize life, and complete tasks. It offers a comprehensive platform for setting goals, managing tasks, and staying organized, while also providing personalized guidance and recommendations for personal growth and productivity. With the help of GPT-powered AI, users can break down goals into detailed task lists, discover new ideas, and seamlessly turn ideas into actionable tasks. MOTIV8 aims to enhance users' productivity, efficiency, and overall well-being by unlocking their true potential and empowering them to thrive in all areas of life.

StoicGPT is a digital guide to Stoic wisdom, providing timeless teachings and insights to help users discover inner peace and resilience. It offers personalized conversations, guidance, and support based on the principles of Stoicism, an ancient philosophy that emphasizes virtue, reason, and acceptance of fate.

Relationship 2.0 is an AI-powered system designed to help individuals navigate through breakups, personal development, and rebuilding healthy relationships. By leveraging advanced AI technology, the platform offers personalized guidance, tailored plans, and expert advice to assist users in overcoming emotional challenges, understanding relationship dynamics, and fostering positive growth. Relationship 2.0 aims to provide a comprehensive solution for individuals seeking to improve themselves and reconnect with their ex-partners in a healthy and sustainable manner.

Personality First is an AI-powered psychology app that provides personalized assessments, insights, and guidance to help users understand themselves better and improve their personal growth. The app uses the latest AI technology to ensure that its assessments and interactions are as accurate as possible. It also has a strong focus on user experience, ensuring that every customer has a unique and tailored experience. Personality First offers a variety of features, including personalized assessments, thorough analysis, voice-first personalization, and a secure and safe environment.

Rosebud is an AI-powered journaling app that makes it easy for anyone to build and maintain an impactful journaling practice. With personalized questions and real-time feedback, Rosebud makes journaling easy and rewarding. Rosebud also resurfaces key details and insights when you need them most, and analyzes your thoughts, organizing them into themes and topics for you to explore.

Keak is the first AI agent designed to continuously improve websites by generating variations through thousands of A/B tests. It automates the process of launching A/B tests, fine-tuning AI models, and self-improving websites. Keak works seamlessly on various platforms and offers a Chrome extension for easy access. With a focus on event tracking and determining winning variations, Keak aims to optimize websites efficiently and effectively.

Gumroad is a platform that allows creators to sell their digital products directly to consumers. It offers a wide range of products including design assets, 3D models, self-improvement courses, films, music, business resources, software development tools, educational content, gaming assets, fitness programs, writing resources, photography materials, comics, fiction books, and more. Users can browse and purchase various digital products from different creators on the platform.

Future Tools is a website that collects and organizes AI tools. It provides a comprehensive list of AI tools categorized into various domains, including AI detection, aggregators, avatar chat, copywriting, finance, gaming, generative art, generative code, generative video, image improvement, image scanning, inspiration, marketing, motion capture, music, podcasting, productivity, prompt guides, research, self-improvement, social media, speech-to-text, text-to-speech, text-to-video, translation, video editing, and voice modulation. The website also offers a search bar to help users find specific tools based on their needs.

Tammy AI is an AI-powered platform that offers users the ability to get video information faster and better through AI technology. It also provides opportunities to unlock new dimensions in learning and leisure activities. Users can interact with bots they create, enhancing their overall experience. The platform covers a wide range of topics from technology and history to health and self-improvement, making it a versatile tool for various purposes.

The Hero's Heart is an AI-powered platform designed to help individuals achieve success and live a more fulfilling life by providing guidance, resources, and tools for personal development, content creation, and business growth. The platform offers insights on overcoming obstacles, creating engaging content, improving skills, and monetizing content through various channels. With a focus on self-improvement and entrepreneurship, The Hero's Heart aims to empower users to become the best version of themselves and pursue their dreams with confidence.

SuperAGI is a leading research organization focused on Generalized Super Intelligence. They work on research in technical areas such as Neurosymbolic AI, Autonomous Agents & Multi-Agent Systems, New Model Architectures, System 2 Thinking, Recursive Self-Improving Systems, and other socio-economic super AGI-related topics such as Digital Workforce, Algorithmic Governance, UBI, etc.

Pixela.ai is a web-based application that helps users track their habits and goals. It offers a variety of features to help users stay motivated, including the ability to set goals, track progress, and share results with friends. Pixela.ai is designed to be simple and easy to use, making it a great option for people who are new to habit tracking.

Ink to Ivy is an AI-powered writing companion that helps students elevate their college admissions essays. It provides personalized feedback, guidance, and suggestions to help students craft compelling, authentic narratives that meet each application's unique requirements. With real-time iterative improvement, students can refine their drafts to perfection.

Vocal Image is an AI-powered coaching app that offers speech and communication lessons to help speakers and singers boost confidence and enhance the attractiveness of their voice. The app provides voice evaluations, educational content, specialized programs, and challenges designed to improve voice quality and communication skills. Users can record their voice, receive feedback from a community of voice enthusiasts, and engage with AI coach recommendations to achieve their voice goals.

Capybara Affirmations AI is an innovative AI tool designed to help users practice positive affirmations and improve their mindset. The tool utilizes artificial intelligence technology to generate personalized affirmations based on user input and preferences. Users can create custom affirmations, receive daily affirmations tailored to their goals, and track their progress over time. With a user-friendly interface and a focus on mental well-being, Capybara Affirmations AI aims to empower individuals to cultivate a positive mindset and boost their self-confidence.

LooksMax AI is an AI tool that provides users with a personalized rating of their physical appearance. Trusted by over 2 million people, it uses advanced algorithms to analyze facial features and provide an assessment of attractiveness. Users can discover how they are perceived by others and gain insights into their appearance. The tool aims to boost confidence and self-awareness by offering constructive feedback and suggestions for improvement.

Serviceaide offers a complete product portfolio of software solutions. AI-powered solutions deliver unmatched service across IT, business departments, and customer support. Serviceaide focuses on helping customers drive various digital process transformations leveraging automation and AI.

Perfect Wiki is an AI-powered help center application integrated into Microsoft Teams, designed to answer repetitive questions and provide AI-generated responses to colleagues and customers. It allows users to effortlessly convert company knowledge into a professional self-service help center. The application offers features such as adding SOPs, FAQs, manuals, and guides, AI chatbot responses, continuous knowledge base improvement, and weekly AI-generated reports. Perfect Wiki aims to streamline information sharing and collaboration within teams by providing instant answers within the Microsoft Teams environment.

MyLooks AI is an AI-powered tool that allows users to assess their attractiveness based on a quick selfie upload. The tool provides instant feedback on the user's appearance and offers personalized improvement tips to help them enhance their looks. Users can track their progress with advanced AI-powered coaching and receive easy guidance to boost their confidence. MyLooks AI aims to help individuals feel more confident and improve their self-image through the use of artificial intelligence technology.

Rizz AI is an AI-powered platform designed to help individuals practice and improve their social skills. The platform offers users the opportunity to practice conversations, receive feedback, and build confidence in various social scenarios. By simulating real-world interactions, Rizz AI aims to enhance users' communication skills and boost their self-assurance. With a focus on speech training and goal achievement, the platform provides personalized feedback and tailored insights to help users track their progress and identify areas for improvement.

GPTSwarm is a graph-based framework for LLM-based agents that enables the creation of LLM-based agents from graphs and facilitates the customized and automatic self-organization of agent swarms with self-improvement capabilities. The library includes components for domain-specific operations, graph-related functions, LLM backend selection, memory management, and optimization algorithms to enhance agent performance and swarm efficiency. Users can quickly run predefined swarms or utilize tools like the file analyzer. GPTSwarm supports local LM inference via LM Studio, allowing users to run with a local LLM model. The framework has been accepted by ICML2024 and offers advanced features for experimentation and customization.

The Cradle project is a framework designed for General Computer Control (GCC), empowering foundation agents to excel in various computer tasks through strong reasoning abilities, self-improvement, and skill curation. It provides a standardized environment with minimal requirements, constantly evolving to support more games and software. The repository includes released versions, publications, and relevant assets.

Avalon-LLM is a repository containing the official code for AvalonBench and the Avalon agent Strategist. AvalonBench evaluates Large Language Models (LLMs) playing The Resistance: Avalon, a board game requiring deductive reasoning, coordination, collaboration, and deception skills. Strategist utilizes LLMs to learn strategic skills through self-improvement, including high-level strategic evaluation and low-level execution guidance. The repository provides instructions for running AvalonBench, setting up Strategist, and conducting experiments with different agents in the game environment.

Reflection-Tuning is a project focused on improving the quality of instruction-tuning data through a reflection-based method. It introduces Selective Reflection-Tuning, where the student model can decide whether to accept the improvements made by the teacher model. The project aims to generate high-quality instruction-response pairs by defining specific criteria for the oracle model to follow and respond to. It also evaluates the efficacy and relevance of instruction-response pairs using the r-IFD metric. The project provides code for reflection and selection processes, along with data and model weights for both V1 and V2 methods.

The 'awesome-deliberative-prompting' repository focuses on how to ask Large Language Models (LLMs) to produce reliable reasoning and make reason-responsive decisions through deliberative prompting. It includes success stories, prompting patterns and strategies, multi-agent deliberation, reflection and meta-cognition, text generation techniques, self-correction methods, reasoning analytics, limitations, failures, puzzles, datasets, tools, and other resources related to deliberative prompting. The repository provides a comprehensive overview of research, techniques, and tools for enhancing reasoning capabilities of LLMs.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

Recent LLM (Large Language Models)-based CV and multi-modal works.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

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.

Awesome LLM Strawberry is a collection of research papers and blogs related to OpenAI Strawberry(o1) and Reasoning. The repository is continuously updated to track the frontier of LLM Reasoning.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

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