Best AI tools for< improve focus metrics >

TimeMaster is an AI productivity assistant designed to supercharge focus and productivity by providing automatic time tracking, project detection, time logging, and insights to help users manage their time more efficiently. It offers features like overworking notifications, daily journaling, work break ratio tracking, and privacy-first data security. TimeMaster helps users build better work habits, optimize productivity, and achieve work-life balance through valuable insights and in-depth analysis.

Rize is an AI productivity coach that uses time tracking to improve your focus and build better work habits. It analyzes your activity to advise you in real-time on when to focus, when to take breaks, and when you're getting off track. Rize provides you with the tools to deepen your ability to focus, including app & website blocking, focus music, a more flexible Pomodoro timer, and in-depth, personalized metrics. It also helps you build better work habits by alerting you at the ideal time to take a break and offering screen-blocking features to ensure these breaks are truly effective.

SportBoost AI is an AI-powered platform that aims to help athletes improve their performance by providing innovative solutions based on advanced Artificial Intelligence technology. The platform offers tools to measure and track performance metrics during games and training sessions across various sports, catering to athletes at all levels from amateur to professional. SportBoost AI is committed to leveraging AI to democratize access to advanced data for athletes and coaches, with a focus on continuous innovation in sports analytics.

Tara AI is an AI platform designed for software engineering teams to measure, optimize, and act on metrics to drive impactful outcomes. It helps in delivering with engineering analytics, creating epics and requirements, running cycles on autopilot, eliminating risks and blockers, aligning on project scope, prioritizing team's focus, tracking completed tasks, running stand-ups, and syncing with GitHub and Slack. Tara AI provides real-time insights and alerts on delivery, optimizes team output, improves engineering efficiency, and helps prioritize initiatives that deliver customer value.

Comigo is an AI-powered mental wellness and productivity support application designed to provide practical, conversational support for improving symptom management in day-to-day life. It combines therapy and productivity support, offering access to CBT, DBT, and ACT techniques. Comigo aims to help individuals with ADHD develop long-term strategies, self-regulate thoughts and behaviors, and flourish with 24/7 practical advice and support. The app is focused on supporting personal growth, productivity, and mental well-being through tailored activities and therapies.

GetSound.ai is an AI-powered deep focus application that helps users minimize distractions and boost productivity by providing real-time soundscapes. The app offers a variety of background music and study-friendly tunes to enhance concentration and performance. With innovative RTS technology, GetSound.ai delivers unique soundscapes tailored to the user's environment, including weather conditions, light exposure, and wind conditions. Users can immerse themselves in high-quality audio experiences to escape into new worlds and improve focus, relaxation, or mindfulness. The app also features a novelty effect that ensures ongoing enrichment and a personalized experience for each user.

Focusdoro is a productivity application designed to help users manage their tasks and time effectively. It offers features such as task management, time tracking, analytics, and habit tracking. Users can organize their work, monitor productivity, gain insights into work patterns, and boost concentration using proven time-blocking techniques. Focusdoro aims to empower users to achieve more in less time by eliminating distractions and providing smart reminders.

Endel is a personalized soundscape application that uses neuroscience to create soundscapes that adapt in real-time to help users focus, relax, and sleep. The application's patented technology reacts to inputs like time of day, weather, heart rate, and location to create soundscapes that are tailored to the user's individual needs. Endel has been shown to improve focus, lower stress, and promote sleep.

Centenarian is an AI-powered personal coaching application that provides ultra-personalized coaching for optimal energy, focus, and performance. It is designed to help users unlock their maximum physical and mental performance through habit changes, progress tracking, and action plans. The application is based on scientific expertise and data analysis to create customized coaching plans for each user. Centenarian aims to optimize energy, focus, and mental fitness by recommending personalized habit changes and providing progress reports to help users achieve their goals.

Untools is an AI-powered personal management toolset designed to help users make better, faster, and more confident decisions. It offers a unique blend of features that prioritize urgency and importance, such as the Eisenhower Matrix and AI Assistant for data-backed decision-making. Users can track past decisions, gain insights, and improve their decision-making process. Untools caters to professionals like entrepreneurs, researchers, and neurodivergent individuals, helping them reduce impulsive choices, prevent distractions, and improve focus. The app provides affordable pricing options and is supported by a team of experienced professionals in product design and software engineering.

Eve Coach is an AI application designed to serve as a stress coach for individuals dealing with work-related stress. It offers support and guidance through stressful situations at work, providing users with an action plan approach to manage their stress effectively. The application aims to help users improve their mental well-being and productivity by leveraging artificial intelligence technology.

Speak4Me is a text-to-speech application that converts any text file, including PDFs and websites, into audible content. It enables users to listen to their documents or school materials anytime, anywhere. With features like scanning physical or digital text, reading web pages aloud, and a new ChatWithMe function, Speak4Me aims to enhance reading experiences and improve focus for individuals with reading issues. The application is trusted by over 15,000 people on the App Store and offers a free version for schools, making education more accessible for everyone.

MBox is an AI-powered platform designed to enhance your Google Meets experience by providing features such as AI-powered summaries, live transcriptions, and more. It streamlines meetings by capturing key points, boosting productivity, and ensuring privacy. The platform aims to save time, improve focus, and elevate the overall meeting experience through AI technology.

HireFlow.net is an AI-powered platform designed to optimize resumes and enhance job prospects. The website offers a free resume checker that leverages advanced Artificial Intelligence technology to provide personalized feedback and suggestions for improving resumes. Users can also access features such as CV analysis, cover letter and resignation letter generators, and expert insights to stand out in the competitive job market.

Suki Assistant is an enterprise-grade AI assistant designed to help clinicians save time and focus on patient care. It offers ambient documentation, dictation, ICD-10 and HCC coding, and answers questions in one solution. Suki has deep integrations with major EHR systems, ensuring safe and clinician-reviewed content. The application scales with large health systems, provides hassle-free partnerships, and delivers proven ROI quickly. It is known for its advanced EHR integrations and bidirectional capabilities, setting the standard in the industry.

Radiology Business is an AI tool designed to provide insights and solutions for professionals in the radiology field. The platform covers a wide range of topics including management, imaging, technology, and conferences. It offers news, analysis, and resources to help radiologists stay informed and make informed decisions. Radiology Business aims to leverage artificial intelligence to improve workflow efficiency and enhance the overall experience in the radiology ecosystem.

FYLD is an award-winning digital platform that utilizes machine learning to automatically transform video and audio footage into real-time workflows, video risk assessments, and analytics dashboards. It aims to eliminate paperwork, save time, and create safer work sites for various sectors such as Highways, Energy, Water, and Wastewater. FYLD helps managers prioritize high-risk sites, reduces paperwork, and enhances efficiency by providing remote visibility of site conditions. The platform empowers fieldworkers, contractors, and civil engineers by streamlining job processes, improving safety measures, and minimizing environmental impact.

AI Mail Assistant is a Gmail add-on powered by OpenAI's ChatGPT that helps users streamline their email communication. It offers a range of features including generating quick and accurate email responses, summarizing emails, translating messages, and improving the grammar and wording of drafts. The tool is designed to save time, avoid language barriers and mistakes, and ensure clear and professional communication.

Cyberday.ai is an AI-powered platform designed to help organizations improve and certify their cybersecurity. The platform offers a comprehensive set of tools and resources to guide users in implementing security tasks, creating policies, and generating compliance reports. With a focus on automation and efficiency, Cyberday.ai streamlines the process of managing information security, from risk assessment to employee training. By leveraging AI technology, Cyberday.ai aims to simplify the complex task of cybersecurity management for organizations of all sizes.

The AI Posture Reminder App on  Mac is a cutting-edge application that utilizes AI technology to help users improve their posture and reduce back pain. It offers real-time posture monitoring, personalized machine learning, and deep analysis using computer vision and neural networks. The app is designed to work on Apple Mac devices, providing users with instant alerts for slouching and bad posture. With a focus on privacy, the app ensures that all posture data stays on the user's device. Users can benefit from on-device training, unlimited updates, and a user-friendly interface to maintain a healthy lifestyle. The app has received positive feedback from users worldwide for its effectiveness and ease of use.

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

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.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

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.

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.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

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.

LongRoPE is a method to extend the context window of large language models (LLMs) beyond 2 million tokens. It identifies and exploits non-uniformities in positional embeddings to enable 8x context extension without fine-tuning. The method utilizes a progressive extension strategy with 256k fine-tuning to reach a 2048k context. It adjusts embeddings for shorter contexts to maintain performance within the original window size. LongRoPE has been shown to be effective in maintaining performance across various tasks from 4k to 2048k context lengths.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

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)

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

The AI-Gateway repository explores the AI Gateway pattern through a series of experimental labs, focusing on Azure API Management for handling AI services APIs. The labs provide step-by-step instructions using Jupyter notebooks with Python scripts, Bicep files, and APIM policies. The goal is to accelerate experimentation of advanced use cases and pave the way for further innovation in the rapidly evolving field of AI. The repository also includes a Mock Server to mimic the behavior of the OpenAI API for testing and development purposes.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

Offers exercises and techniques to improve memory retention and cognitive functions.

Navigate ADHD challenges with MindFit, your bilingual AI coach. Tailored strategies for focus, organization, and productivity in both English and Spanish. Whether it's managing daily tasks or long-term goals, MindFit provides practical, personalized support for a balanced life.

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Unleash Peak Brain Performance: Precision Nutrition for the Focused Warrior