Best AI tools for< Supervise Construction >

Sanctuary Cognitive Systems Corporation is a company that develops and manufactures general-purpose robots. Their flagship product, Phoenix™, is the world's first humanoid general-purpose robot powered by Carbon™, their pioneering AI control system. Phoenix™ is designed for work and is the only general-purpose robot featured in TIME's Best Inventions 2023. Sanctuary's robots are remotely piloted or supervised by people and are designed to both train and work alongside them. When instructed to do so, their robots will use their own built-in autonomous control system to observe, assess, and act on tasks in an efficient and prosperous manner.

Constructable is a team-first construction management tool designed for modern construction teams. It empowers commercial construction teams to focus on building amazing projects by providing high performance features across devices. Constructable offers effortless collaboration, intuitive design, and AI-powered search capabilities to enhance team productivity and decision-making. The application includes tools for drawings, photos, AI search, daily logs, punch lists, RFIs, submittals, and financial management. With simple pricing and enterprise-ready security, Constructable ensures a seamless user experience and efficient project management.

ganttLify is a project management application that offers a gamified approach to tracking, analyzing, and visualizing tasks using tools like Gantt charts, EVM, CPM, and curves. It helps both professionals and hobbyists manage projects efficiently by providing features such as Critical Path Method (CPM), Earned Value Management (EVM), Gantt Chart visualization, Cumulative Cost Curve monitoring, text notes & to-dos organization, sketch & draw capabilities, and upcoming AI, AR/VR, voice note, and team collaboration support.

Observance is an AI-powered construction management platform developed by Inkers.ai. It integrates advanced AI technologies to provide features such as 4D BIM, Snag List, Project Milestones, Scan to BIM, Thermals Analytics, and Deviation Analysis. The platform offers real-time tracking, smart scheduling, BIM integration, analytics dashboard, and next-generation construction AI capabilities. Observance helps owners, contractors, and architects in tracking, managing, and executing construction projects efficiently. It also offers defect detection, mesh segmentation, objects identification, and health & safety monitoring using AI algorithms.

AI Clearing is an AI-powered progress tracking tool with quality control reporting specifically designed for construction projects. It allows users to monitor progress, track production, and align with schedules seamlessly. The tool is fully driven by site and project data, providing actionable insights to boost teams' performance, save resources, and cut administrative and supervision time. AI Clearing is trusted by industry professionals and offers a comprehensive solution to overcome challenges in the construction industry.

viAct.ai is an AI-powered construction management software and app that utilizes computer vision and video analytics for workplace safety. The platform offers scenario-based AI vision technology to simplify monitoring processes in industries such as construction, oil & gas, mining, manufacturing, and more. viAct.ai helps in automating monitoring tasks, empowering jobsites with automated construction management software powered by AI video analytics.

Attentive.ai is an AI-powered platform designed to automate landscaping, paving, and construction businesses. It offers end-to-end automation solutions for various industry needs, such as takeoff measurements, workflow management, and bid automation. The platform utilizes advanced AI algorithms to provide accurate measurements, streamline workflows, and optimize business operations. With features like automated takeoffs, smart scheduling, and real-time insights, Attentive.ai aims to enhance sales efficiency, production optimization, and back-office operations for field service businesses. Trusted by over 750 field service businesses, Attentive.ai is a comprehensive solution for managing landscape maintenance and construction projects efficiently.

Intangles is an advanced fleet management and predictive analytics platform powered by AI technology. It offers a suite of solutions designed to optimize fleet operations, improve vehicle health monitoring, enhance driving behavior, track fuel consumption, automate operations, and provide accurate predictive analytics. Intangles caters to various industries such as trucking, construction, mining, farming, oil & gas, transit, marine engines, gensets, and waste management. The platform leverages state-of-the-art technology including Digital Twin Technology, Integrated Solution, and Predictive Analytics to deliver outstanding results. Intangles' mission is to spark a technology revolution in the mobility industry by helping businesses save time and money through predictive maintenance and real-time data insights.

Fieldproxy is an AI-powered Field Service Management (FSM) software that offers solutions for various industries such as HVAC, Solar Energy, Telecommunications, Electrical & Powergrid Systems, Pest Control Services, FMCG, Banking & Financial Services, Construction, and Facilities Management. The platform provides real-time oversight, automated ticket creation, predictive service scheduling, and asset lifecycle management. Fieldproxy aims to empower on-ground teams, increase productivity, automate workflows, and enhance customer service across different sectors.

Owlbot is one of the most advanced AI chatbot platforms in the world, empowering companies with AI to provide instant answers to customers, clients, and employees. It simplifies data analysis, integrates data from multiple sources, and offers customizable chatbot interfaces. Owlbot offers features like data integration, chatbot interface customization, conversation supervision, function calling, and leads generation. Its advantages include efficient data analysis, multilingual support, instant answers, diverse LLM models, and lead generation capabilities. However, Owlbot's disadvantages include potential data security concerns, the need for user expertise, and limited customer interaction compared to human operators.

Plus is an AI-based autonomous driving software company that focuses on developing solutions for driver assist and autonomous driving technologies. The company offers a suite of autonomous driving solutions designed for integration with various hardware platforms and vehicle types, ranging from perception software to highly automated driving systems. Plus aims to transform the transportation industry by providing high-performance, safe, and affordable autonomous driving vehicles at scale.

MixMode is the world's most advanced AI for threat detection, offering a dynamic threat detection platform that utilizes patented Third Wave AI technology. It provides real-time detection of known and novel attacks with high precision, self-supervised learning capabilities, and context-awareness to defend against modern threats. MixMode empowers modern enterprises with unprecedented speed and scale in threat detection, delivering unrivaled capabilities without the need for predefined rules or human input. The platform is trusted by top security teams and offers rapid deployment, customization to individual network dynamics, and state-of-the-art AI-driven threat detection.

SpamSpy is a community-powered AI platform designed to combat spam and malicious content online. It offers a range of pricing plans to suit different needs, from free options to enterprise solutions. The platform leverages supervised and unsupervised algorithms for accurate assessment of relevance, and personalized reinforcement models to enhance response quality. SpamSpy encourages community involvement and contributions to improve its spam detection capabilities.

Audiobox is an AI tool developed by Meta for audio generation. It allows users to create custom audio content by generating voices and sound effects using voice inputs and natural language text prompts. The tool includes various models such as Audiobox Speech and Audiobox Sound, all built upon the shared self-supervised model Audiobox SSL. Audiobox aims to make AI safe and accessible for everyone by providing a platform for creative audio storytelling and research in the field of audio generation.

Insidr AI is a real-time analysis tool that helps users track their competition by providing actionable insights about products. Powered by Supervised AI, the tool offers features such as analyzing user reviews, gaining insights on competitors, and performing various analyses like sentiment analysis, SWOT analysis, and trend analysis. Users can also transcribe recordings, perform KPI analysis, and find competitive edges. With a focus on providing accurate data and insights, Insidr AI aims to help businesses make informed decisions and stay ahead of the competition.

AirMDR is an AI-powered Managed Detection and Response (MDR) application that revolutionizes cybersecurity by leveraging artificial intelligence to automate routine tasks, enhance alert triage, investigation, and response processes. The application offers faster, higher-quality, and more affordable cybersecurity solutions, supervised by human experts. AirMDR aims to deliver unprecedented speed, superior quality, and cost-effective outcomes to cater to the unique demands of security operations centers.

MimicBrush is the ultimate creative AI tool for digital art, offering zero-shot image editing with reference imitation. It allows users to edit specific regions of an image while preserving the surrounding context, transfer textures between images, and refine edited images with advanced post-processing techniques. The tool's overall pipeline involves training dual U-Nets to recover masked areas of source images by leveraging attention keys and values from reference images. MimicBrush enables users to edit images by drawing inspiration from reference images in a self-supervised manner, capturing semantic correspondence for precise modifications.

Superside is an AI-powered creative design platform that offers a wide range of services to enhance your brand's visual storytelling. With top global talent and industry-leading AI workflows, Superside provides eye-catching designs, engaging social media assets, captivating presentation slides, and more. The platform allows you to scale your in-house creative team efficiently, delivering high-quality work with ultra-fast turnaround times. Trusted by 500+ of the world's biggest brands, Superside combines human brilliance with AI technology to maximize creativity and productivity.

Rightsify is a global music licensing agency that provides music for almost every use case imaginable, with a catalog of over 10 million songs that gets heard by over one billion people every year. Rightsify's music is available for businesses worldwide, and its Hydra AI Music Model enables high-quality music production for all with full commercial rights.

Voxel's Safety Intelligence Platform is an AI-driven site intelligence platform that empowers safety and operations leaders to make strategic decisions. It provides real-time visibility into critical safety practices, offers custom insights through on-demand dashboards, facilitates risk management with collaborative tools, and promotes a sustainable safety culture. The platform helps enterprises reduce risks, increase efficiency, and enhance workforce safety through innovative AI technology.

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.

RoboMatrix is a skill-centric hierarchical framework for scalable robot task planning and execution in an open-world environment. It provides a structured approach to robot task execution using a combination of hardware components, environment configuration, installation procedures, and data collection methods. The framework is developed using the ROS2 framework on Ubuntu and supports robots from DJI's RoboMaster series. Users can follow the provided installation guidance to set up RoboMatrix and utilize it for various tasks such as data collection, task execution, and dataset construction. The framework also includes a supervised fine-tuning dataset and aims to optimize communication and release additional components in the future.

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.

LLMBox is a comprehensive library designed for implementing Large Language Models (LLMs) with a focus on a unified training pipeline and comprehensive model evaluation. It serves as a one-stop solution for training and utilizing LLMs, offering flexibility and efficiency in both training and utilization stages. The library supports diverse training strategies, comprehensive datasets, tokenizer vocabulary merging, data construction strategies, parameter efficient fine-tuning, and efficient training methods. For utilization, LLMBox provides comprehensive evaluation on various datasets, in-context learning strategies, chain-of-thought evaluation, evaluation methods, prefix caching for faster inference, support for specific LLM models like vLLM and Flash Attention, and quantization options. The tool is suitable for researchers and developers working with LLMs for natural language processing tasks.

Step-DPO is a method for enhancing long-chain reasoning ability of LLMs with a data construction pipeline creating a high-quality dataset. It significantly improves performance on math and GSM8K tasks with minimal data and training steps. The tool fine-tunes pre-trained models like Qwen2-7B-Instruct with Step-DPO, achieving superior results compared to other models. It provides scripts for training, evaluation, and deployment, along with examples and acknowledgements.

AI By Doing is a hands-on artificial intelligence tutorial series that aims to help beginners understand the principles of machine learning and deep learning while providing practical applications. The content covers various supervised and unsupervised learning algorithms, machine learning engineering, deep learning fundamentals, frameworks like TensorFlow and PyTorch, and applications in computer vision and natural language processing. The tutorials are written in Jupyter Notebook format, combining theory, mathematical derivations, and Python code implementations to facilitate learning and understanding.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

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

Merlin is a groundbreaking model capable of generating natural language responses intricately linked with object trajectories of multiple images. It excels in predicting and reasoning about future events based on initial observations, showcasing unprecedented capability in future prediction and reasoning. Merlin achieves state-of-the-art performance on the Future Reasoning Benchmark and multiple existing multimodal language models benchmarks, demonstrating powerful multi-modal general ability and foresight minds.

HuatuoGPT-o1 is a medical language model designed for advanced medical reasoning. It can identify mistakes, explore alternative strategies, and refine answers. The model leverages verifiable medical problems and a specialized medical verifier to guide complex reasoning trajectories and enhance reasoning through reinforcement learning. The repository provides access to models, data, and code for HuatuoGPT-o1, allowing users to deploy the model for medical reasoning tasks.

This repository is a collection of papers and resources related to Lifelong Learning of Large Language Model (LLM) based Agents. It focuses on continual learning and incremental learning of LLM agents, identifying key modules such as Perception, Memory, and Action. The repository serves as a roadmap for understanding lifelong learning in LLM agents and provides a comprehensive overview of related research and surveys.

DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents. It aims to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

Expert in building trades, providing informative insights on construction.

Your expert guide to the intricate world of Swiss architecture, blending sustainability with innovation.

Informative guide on asbestos hazards and removal

Upload a site photo to assess the potential hazard and seek advises from experience AI Safety Officer

Your expert on NEXCO Nagayoshi project.

Assists with construction labor information.

Tu guía interactiva en geotecnia y cimentaciones, con respuestas basadas en textos de referencia.

A Professor to supervise philosophy doctoral students.

Manages and supervises financial assets and investments.

Technical and informative discussions on drilling and its applications.

🎄 Santa's village, holiday tools and toys 🎁

Graduate advisor for refining academic papers

Connects you to specialized assistants for every sermon-related need. From discerning historical context, destroying sources of confusion, and developing discussion questions to enhancing emotional resonance and audience reception, discover bespoke solutions for powerful, persuasive sermons.

🌈心理督导服务。此助手经过了特定设计优化。 👉专门为心理咨询师提供专业的督导和反馈，帮助您更深入地理解患者的需求，优化咨询技巧。⚠️注意！已关闭数据分享，所有数据均不保存

A guide for Therapists in Person-centered or students in this field, aimed at assisting in patient sessions, providing literature suggestions, and offering reflections on the clinical interventions of users.

Hello I'm Heat-Treat Supervisor Assistant! What would you like help with today?

Specialist in HR and management and supervisor policy guidance

I help you find content creation tools based on your use case! Or Suprise you with tools that you didn't know you need!

I match music to video topics.

It’s your first day! Excited, Nervous? Let me help you start off strong in your career. Type "help" for More Information