Best AI tools for< focus on work or study >

MoodPlaylist is a free, ad-free music streaming service that allows users to create personalized playlists based on their mood, activity, or era. With a vast library of music spanning multiple genres and decades, MoodPlaylist uses AI algorithms to analyze user preferences and create playlists that perfectly match their current mood or desired activity. The platform also offers features such as background playback, unlimited skips, and the ability to export playlists to Spotify.

Aceify.ai is an AI tool designed to provide instant and accurate study help for students. It offers features such as a screenshot tool, a summarizer tool, and various resources to assist users in finding solutions to academic problems. The application aims to enhance productivity and learning efficiency by offering a platform where users can snap questions or use the Aceify button on select sites to guide them towards solutions. With a focus on high accuracy and continuous improvement, Aceify.ai is a valuable tool for students seeking academic support.

dypt is an AI-powered task management application designed to help users organize their tasks efficiently. It allows users to break down tasks into subtasks, generate ideas and lists, set deadlines and reminders, and collaborate on tasks. With a focus on user experience, dypt offers features like AI task assistance, time tracking, priority levels, and task filtering. Users can access dypt on any device, use AI models for task breakdown, and share tasks publicly or privately. The application aims to enhance productivity and time management for individuals and teams.

Textomap is an online tool that allows users to create interactive maps from text. Users can input any text that contains locations, addresses, or points of interest, and Textomap will automatically generate a map with those locations marked. Textomap also allows users to customize their maps by adding pins, labels, and descriptions. The tool is free to use, but users can upgrade to a paid plan for additional features such as unlimited maps and ad-free browsing.

Writer is a full-stack generative AI platform that enables businesses to build and deploy custom AI applications for a wide range of use cases, including digital assistants, content generation, summarization, and data analysis. Writer's platform is designed to be accurate, scalable, and cost-effective, and it offers a variety of features to help businesses get the most out of generative AI, including: - Palmyra LLMs: Writer's family of LLMs is purpose-built for the enterprise and offers a range of capabilities, including question-answering, image analysis, and multilingual translation. - Knowledge Graph: Writer's Knowledge Graph anchors generative AI in your company data, resulting in higher accuracy and fewer hallucinations. - AI guardrails: Writer's AI guardrails help businesses enforce their regulatory, legal, inclusivity, and brand rules across all work, whether it's created by their people or AI. - Flexible application layer: Writer's flexible application layer offers a wide range of interfaces to meet your specific needs, whether you're using a prebuilt app, building a custom app, or making requests to our out-of-the-box chat app.

ShortsFaceless is an AI-powered platform that enables users to effortlessly generate faceless AI shorts for their channels. The platform offers a comprehensive solution for creating AI-generated videos, including script generation, image creation, voiceover selection, subtitle addition, and more. Users can quickly create engaging videos without the need for manual scripting, editing, or post-production work. With ShortsFaceless, content creators can save time and focus on creating high-quality videos for their audience.

Bjørn Karmann's portfolio showcases a range of innovative projects that blend art, technology, and artificial intelligence. From context-to-image cameras to interactive installations, each project explores unique concepts and pushes the boundaries of creativity and technology. Bjørn Karmann's work often involves using location data and AI to create immersive experiences that challenge traditional design norms. With a focus on storytelling and user interaction, his projects offer a glimpse into the future of technology and its potential to transform everyday experiences.

GoCharlie is a leading Generative AI company specializing in developing cognitive agents and models optimized for businesses. Its AI technology enables professionals and businesses to amplify their productivity and create high-performing content tailored to their needs. GoCharlie's AI assistant, Charlie, automates repetitive tasks, allowing teams to focus on more strategic and creative work. It offers a suite of proprietary LLM and multimodal models, a Memory Vault to build an AI Brain for businesses, and Agent AI to deliver the full power of AI to operations. GoCharlie can automate mundane tasks, drive complex workflows, and facilitate instant, precise data retrieval.

DeepIP is an AI assistant designed by Patent Professionals for Patent Professionals to enhance work efficiency, automate repetitive tasks, improve accuracy, and ensure compliance with USPTO requirements. It helps patent practitioners save time in patent drafting and prosecution processes, enabling them to focus on delivering better patents for their clients. DeepIP features a user-friendly interface and seamless integration into Microsoft Word, making it accessible to practitioners with varying levels of technical expertise. The tool supports various document formats commonly used in patent drafting and prioritizes data privacy and security by not storing or using data for retraining purposes.

123Fuxx.com is an AI-powered search engine optimization (SEO) assistant designed to help website owners improve their online presence and visibility. The tool offers solutions for various needs such as recovering from penalties or updates, optimizing e-commerce SEO, and enhancing work processes for freelancers and agencies. With a focus on simplicity and effectiveness, 123Fuxx.com aims to empower users to serve more customers and achieve success in the digital landscape.

Lazy Write is an AI content writing tool that assists users in generating high-quality written content efficiently. The tool utilizes artificial intelligence algorithms to analyze input data and produce well-structured articles, blog posts, or any other written material. With Lazy Write, users can save time and effort by automating the writing process, allowing them to focus on other aspects of their work. The tool is designed to be user-friendly, making it accessible to individuals with varying levels of writing expertise. Lazy Write aims to revolutionize the way content is created by providing a seamless and efficient writing experience.

Razzle is a messaging tool designed to help you stay focused and get more done. It is minimal and distraction-free, with a focus mode that is on by default. Razzle also has a quick and easy search function from your command bar, and it comes with 2 embedded AI models that can help you with writing marketing copy or data extraction. Razzle also has first party support for Zoom and Google Meets, so you can easily call your colleagues with one click.

Razzle is a messaging tool designed to help you stay focused and get more done. It is minimal and distraction-free, with a focus mode that is on by default. Razzle also has a quick and easy search function from your command bar, and it comes with 2 embedded AI models that can help you with writing marketing copy or data extraction. Razzle also has first party support for Zoom and Google Meets, so you can easily call your colleagues with one click.

Working Smarter is a podcast that explores the intersection of AI and modern work. The podcast delves into how AI is revolutionizing various industries, showcasing real-world examples of how AI tools are enhancing collaboration, productivity, and problem-solving. Through interviews with founders, researchers, and engineers, Working Smarter provides insights into the potential of AI to streamline workflows and empower individuals to focus on meaningful tasks.

CopyrightShark is an ultimate content protection service that helps protect your creative works from unauthorized use and ensures you're fairly compensated for your hard work. It uses advanced AI bots to detect leaked content, facilitates the removal of infringed content, and provides deep analysis of social media platforms for leaked copyrighted material. With CopyrightShark, you can focus on creating while they handle the protection and monitoring of your content.

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.

Lumina is an AI-powered image processing tool designed to enhance and edit photos effortlessly. It eliminates the need for manual editing by automating tasks, allowing users to focus on creative work. With over 300k images processed daily, Lumina offers easy-to-use features that boost productivity and unleash creativity. From colorizing photos to enhancing images, Lumina provides professional-quality results in no time. The platform is user-friendly and caters to a global audience seeking efficient photo editing solutions.

Everlaw is a cloud-native ediscovery software that transforms the approach to litigation and investigations with advanced technology. It simplifies complex legal work for law firms, corporations, and government agencies by providing powerful analytics, machine learning tools, and generative AI. Everlaw enables legal teams to focus on substantive work, capture near-instant insights in ediscovery data, and collaborate effectively for trial preparation. The software offers rapid release cycles, thoughtful design, and an exceptional user experience to empower users to do more than ever before.

Branchminds is an AI Research Assistant designed to find relevant web links related to your Notion content. It is a widget embedded within your Notion workspace that reads your existing ideas and helps you research and discover web links on topics of interest. By seamlessly integrating with Notion, Branchminds eliminates the need to switch between tabs, allowing you to focus on your work without interruptions. The tool pulls content directly from your specified Notion page, associates your notes with web links, generates content based on your inputs, and aims to assist you in brainstorming and generating fresh ideas. Branchminds strives to be a valuable assistant in enhancing your workspace and facilitating smarter work practices.

Connected-Stories is the next generation of Creative Management Platforms powered by AI. It is a cloud-based platform that helps creative teams to manage their projects, collaborate with each other, and track their progress. Connected-Stories uses AI to automate many of the tasks that are typically associated with creative management, such as scheduling, budgeting, and resource allocation. This allows creative teams to focus on their work and be more productive.

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

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.

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.

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

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.

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.

A curated list of Generative AI projects, tools, artworks, and 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.

MMOS (Mix of Minimal Optimal Sets) is a dataset designed for math reasoning tasks, offering higher performance and lower construction costs. It includes various models and data subsets for tasks like arithmetic reasoning and math word problem solving. The dataset is used to identify minimal optimal sets through reasoning paths and statistical analysis, with a focus on QA-pairs generated from open-source datasets. MMOS also provides an auto problem generator for testing model robustness and scripts for training and inference.

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 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.

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.

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