Best AI tools for< Organize Lab Supplies >

Adept is an AI tool that aims to provide useful general intelligence by building a machine learning model that can interact with everything on your computer. It takes your goals in plain language and turns them into actions on the software you use every day. Adept's model, ACT-1, is designed and trained specifically for taking actions on computers in response to natural language commands. The application focuses on collaborating and creating with users at the center, enabling more informed decisions and giving users more time for the work they love.

Protocol Pal is a website designed to help users with building protocols. It is a platform created by Basam Alasaly, Ocean Explains, and Tkruer. The website aims to assist individuals in creating structured protocols efficiently. Users can benefit from the tool's features to streamline their protocol development process. Protocol Pal is a valuable resource for anyone looking to organize and document their procedures effectively.

Midjourney is an independent research lab that aims to explore new mediums of thought and expand the imaginative powers of the human species. The website serves as a platform where users can collaborate to create new worlds, fantastic characters, and unique imagery from short text descriptions. Midjourney focuses on design, human infrastructure, and AI, with a small self-funded team dedicated to pushing the boundaries of creativity and innovation.

Playbook is an AI-powered file manager for creatives, by creatives. It is the world's first collaborative creative space that combines the features of Dropbox and Pinterest, with 4TB of starter space. Playbook helps users organize, share, and collaborate on creative files and projects with their clients and team. It uses AI to organize work in a way that makes sense, and allows users to find files 10x faster than traditional cloud storage. Playbook also has a beautiful gallery feature that makes it easy to share work with clients and gather feedback.

CoSchedule is an all-in-one marketing calendar that helps businesses organize their marketing efforts. It offers a variety of features, including a social calendar, content calendar, marketing suite, and AI-powered tools. CoSchedule is designed to help businesses save time and improve their marketing results.

Tettra is an AI-powered knowledge management system designed to help organizations curate company information into an internal knowledge base, instantly answer team questions with AI in Slack or the app, save reusable answers with automation, and streamline onboarding processes. It offers features like internal Q&A, knowledge management system, Slack integration, CSAT notifications, and integrations with SupportMan. Tettra is trusted by various teams to organize scattered knowledge and improve efficiency by eliminating bottlenecks and saving time from repetitive questions.

Eden Photos is an AI-powered image organization tool that helps users effortlessly manage and categorize their images. By leveraging state-of-the-art image recognition AI, the tool automatically adds tags to images, arranges them into meaningful categories, and makes them easily searchable. Users can enjoy the convenience of having tags added to image metadata, import images once, and make changes to folders that are automatically reflected. The tool supports various image formats and offers both manual and AI-driven organization options. With flexible pricing plans and a user-centric approach, Eden Photos aims to simplify image organization for all users.

Dokkio is an AI-powered platform that helps users find, organize, and understand all of their online files. By leveraging AI technology, Dokkio enables users to work with their cloud files efficiently and collaboratively. The platform offers tools for managing multiple activities, finding documents and files, compiling research materials, and organizing a content library. Dokkio aims to streamline the process of accessing and utilizing online content, regardless of where it is stored.

ImageSorter.io is a free online tool designed to help users sort and organize their images efficiently. Users can easily select and add images to the tool, then use simple drag-and-drop functionality to rearrange them. The tool also offers a Pro version with additional features such as setting confidence thresholds and sorting images by tag order. ImageSorter.io provides a user-friendly interface that simplifies the image organization process, making it a valuable tool for individuals and professionals alike.

PaperClip is an AI tool designed to help users keep track of their daily AI papers review. It allows users to memorize details from papers in machine learning, computer vision, and natural language processing. The tool provides an extension that enables users to find back important findings from AI research papers, ML blog posts, and news. PaperClip's AI runs locally, ensuring data privacy by not sending any information to external servers. With features like offline support, data cleaning, and easy reset options, PaperClip offers a convenient solution for organizing and accessing research findings.

Phew AI Tab is an AI-powered tab management tool that helps users organize and retrieve tab information efficiently. It utilizes AI-based grouping and spaces in a vertical sidebar to streamline tab management. With features like AI Grouping & Auto Collapse, AI Analyzing, AI Search, and AI-based Space & Cloud Sync, Phew AI Tab aims to enhance productivity and user experience. The tool ensures privacy with military-grade protection and offers seamless synchronization across devices.

moyoNote is an AI-powered tool designed for organizing, managing, and structuring information into a comprehensive knowledge base. It offers features such as generating mind maps from text or files, interactive Q&A for maps, and customization options for personal expression. Users can easily share mind maps with others and control access permissions. The tool aims to simplify workflow, improve work efficiency, and enhance collaboration among users.

The website offers a service where users can send their notes to be organized in Notion. Users can get started with Telegram and Slack integration is coming soon. The platform aims to simplify the process of organizing notes and tasks for better productivity.

Emdash is an AI-powered tool designed to help users organize their book highlights effectively. By utilizing AI technology, Emdash can analyze text snippets, making it easier for users to remember and learn from their readings. The tool offers features such as conceptual cousins, instant semantic search, tagging, rating, note-taking, and reflection capabilities. Emdash is free, open-source, and allows users to export their organized data back to epub format for review on e-readers. Additionally, the tool promotes random discovery of forgotten ideas, rephrasing dense concepts with metaphors, and supports importing highlights from various sources like Kindle. Emdash prioritizes user privacy by conducting on-device analysis and offers the flexibility to opt into advanced features. Future updates include Monk-Mode Lenses for summarizing complex ideas, Socratic switch for book interviews, cross-device syncing, backup, and publishing or sharing excerpts.

AITag.Photo is an AI tool that helps users quickly generate tags, descriptions, and other keywords for their photos. It uses advanced image understanding technology to accurately generate content descriptions for each photo, making it easy to organize and manage photos efficiently. Users can create stories based on images, featuring dialogues or monologues of characters. AITag.Photo simplifies the process of describing photos, saving users time and effort in photo management.

Notle is a productivity tool designed to help users organize their notes efficiently. With a user-friendly interface, Notle allows users to create, edit, and categorize notes seamlessly. Users can also set reminders, attach files, and collaborate with others on their notes. Whether you're a student, professional, or anyone in between, Notle is the perfect solution for keeping your thoughts and ideas organized.

Note Rack is an AI-powered tool designed to help students organize their academic life efficiently. It serves as a centralized platform for managing notes and tasks, enabling users to streamline their study routines. With features like collaboration, sharing, powerful search function, and ChatGPT integration, Note Rack aims to enhance the note-taking experience and provide personalized study assistance. Say goodbye to endless scrolling through handwritten notes and hello to a more productive and effective way of studying.

Datr is an AI-powered dating assistant that helps users organize their dates, find Instagram users nearby, and generate AI-generated conversation starters. It is designed to make online dating easier and more efficient.

SmarterFolder is an AI-powered tool designed for MacOS that enables users to perform semantic image searches on their local drive. By utilizing AI technology, users can find photos based on descriptions of the content within the images. The tool ensures full privacy as no images are shared or stored externally, providing a secure and efficient way to organize and retrieve photos.

ToDoIt is a voice and AI-powered to-do list application that helps users manage their tasks efficiently using natural language. Users can create tasks in less than 10 seconds by speaking, receive task recommendations based on their inputs, and enjoy smart task automation for improved productivity. The app offers different pricing plans with features like AI voice transcription, AI-powered task recommendations, and unlimited task recommendation refreshes. ToDoIt prioritizes user privacy and security by securely storing data and deleting audio files after transcription. Users can leave feedback through Insighto and benefit from the app's responsive web version.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

Factorio Learning Environment is an open source framework designed for developing and evaluating LLM agents in the game of Factorio. It provides two settings: Lab-play with structured tasks and Open-play for building large factories. Results show limitations in spatial reasoning and automation strategies. Agents interact with the environment through code synthesis, observation, action, and feedback. Tools are provided for game actions and state representation. Agents operate in episodes with observation, planning, and action execution. Tasks specify agent goals and are implemented in JSON files. The project structure includes directories for agents, environment, cluster, data, docs, eval, and more. A database is used for checkpointing agent steps. Benchmarks show performance metrics for different configurations.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

ShapeLLM is the first 3D Multimodal Large Language Model designed for embodied interaction, exploring a universal 3D object understanding with 3D point clouds and languages. It supports single-view colored point cloud input and introduces a robust 3D QA benchmark, 3D MM-Vet, encompassing various variants. The model extends the powerful point encoder architecture, ReCon++, achieving state-of-the-art performance across a range of representation learning tasks. ShapeLLM can be used for tasks such as training, zero-shot understanding, visual grounding, few-shot learning, and zero-shot learning on 3D MM-Vet.

The 'Awesome LLMs Planning Reasoning' repository is a curated collection focusing on exploring the capabilities of Large Language Models (LLMs) in planning and reasoning tasks. It includes research papers, code repositories, and benchmarks that delve into innovative techniques, reasoning limitations, and standardized evaluations related to LLMs' performance in complex cognitive tasks. The repository serves as a comprehensive resource for researchers, developers, and enthusiasts interested in understanding the advancements and challenges in leveraging LLMs for planning and reasoning in real-world scenarios.

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

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

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

AI is an open-source Swift framework for interfacing with generative AI. It provides functionalities for text completions, image-to-text vision, function calling, DALLE-3 image generation, audio transcription and generation, and text embeddings. The framework supports multiple AI models from providers like OpenAI, Anthropic, Mistral, Groq, and ElevenLabs. Users can easily integrate AI capabilities into their Swift projects using AI framework.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

A handy package for kickstarting AI contests. This Python framework simplifies the creation of an environment for adversarial agents, offering various functionalities for game setup, playing against remote agents, data generation, and contest organization. The package is user-friendly and provides easy-to-use features out of the box. Developed by an enthusiastic team of M.Sc candidates at Polytechnique Montréal, 'seahorse' is distributed under the 3-Clause BSD License.

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.

This repository provides a hands-on lab for learning about Neo4j and Google Cloud Vertex AI. It is intended for data scientists and data engineers to deploy Neo4j and Vertex AI in a Google Cloud account, work with real-world datasets, apply generative AI, build a chatbot over a knowledge graph, and use vector search and index functionality for semantic search. The lab focuses on analyzing quarterly filings of asset managers with $100m+ assets under management, exploring relationships using Neo4j Browser and Cypher query language, and discussing potential applications in capital markets such as algorithmic trading and securities master data management.

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.

Hello I'm Glass Blower, Laboratory Apparatus Assistant! What would you like help with today?

Friendly AI travel companion for personalized trip planning.

Organize and develop ideas, respecting privacy and copyright laws.

Organize, Journal, and Achieve: Your All-in-One App for Masterful Task Management and Reflection

Analyzes and categorizes perfume data from Excel, or lists. Upload a file with your perfume names or just the names of your perfumes and this GPT will help you organize the information.

Helps you organize any text into a Jira ticket!

I organize my thoughts using ontology matrices, for detailed CWP advice.

I help organize your feelings when you're feeling unclear or frustrated etc and aware of important matters. It's also great for sharing happy moments. I support your emotional well-being and self-understanding.

I brainstorm and organize story ideas into structured events, world facts, and character outlines. Elevate your storytelling craft with Fiction Flow's GhostWriter series; learn more at fictionflow.io.

I help plan and organize RAM Rallies. A RAM Rally is a unique type of rally geared toward adventure motorcycle and dual sport riders of all skill levels.

I help declutter your space by analyzing room photos and suggesting what to organize.

Align, organize, and enhance design assets effortlessly.

Connect and interact with your Google accounts. Organize, retrieve, and manipulate data with A.I

Solve math and logic with Smart GPT. Use Tree and Chain of thoughts to organize and find answers.

Step into the world of high fashion. As runway designers, they create unique collections, organize dazzling fashion shows, and stay ahead of the latest trends. It blends elements of design, marketing, and business management in the glamorous fashion industry

Comprehensive categorization and organization for AI Prompts

Organizes text into structured output and creates visual mind maps.

Assists in developing a visual inventory management app.

Coaches on Second Brain & PARA, focuses on information categorization.

Guides software development processes through Kanban methodologies.