Best AI tools for< Supervise Removal >

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.

FlowX.AI is an AI-powered platform designed for modernizing large financial institutions end-to-end. It offers solutions for application modernization, business process modernization, and infrastructure modernization. The platform features AI agents, supervisors, inspectors, auditors, developers, analysts, and assistants to streamline processes, improve efficiency, and ensure compliance. FlowX.AI is trusted by leading banking and financial services groups for accelerating digital transformation and reducing total cost of ownership.

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 is designed to be user-friendly and versatile, catering to a wide range of use cases. Audiobox offers a series of interactive audio demos to showcase its unique capabilities and provides a platform for users to express their creativity through audio storytelling. The tool is built upon the shared self-supervised model Audiobox SSL, ensuring a safe and reliable AI experience for all users.

ProductHunt AI 2.0 is a no-BS product finder that makes it super easy to find super-effective products and alternatives on the go with semantic searches. It is 100% free to use and backed by Supervised AI. With ProductHunt AI 2.0, you can build agents like this with no-code, use free open-source AI models, or deploy your own language model.

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.

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.

Schwarzthal Tech's Wunderschild is an AI-driven platform for financial crime intelligence that revolutionizes compliance and investigation techniques. It provides intelligence solutions based on network assessment, data linkage, flow aggregation, and machine learning. The platform offers expertise in identifying risks related to Politically Exposed Persons, Serious Organised Crime, Terrorism Financing, and more. Wunderschild's capabilities include compliance enhancement through semi-supervised learning techniques, deep-dive investigations into transnational crime cases, and global companies' beneficiaries network analysis.

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 revolutionizes EHS by providing visibility, insights, and actionable security measures for industries such as Food & Beverage, Retail, Logistics, Manufacturing, and Ports & Customs. The platform empowers safety and operations leaders to make strategic decisions, enhance workforce safety, and drive efficiency through real-time site visibility, custom dashboards, risk management tools, and a sustainable safety culture.

Logistify AI is an automated inventory verification tool designed for warehouses and factories. It utilizes Generative AI technology to reduce inventory losses caused by human errors in manual counting and to lower labor costs. The tool employs automated CCTV computer vision for accurate inventory identification, counting, and plate number recognition. Trusted by over 50 inventory managers, Logistify AI helps companies streamline their inventory management processes and improve overall efficiency.

Allie is an AI-powered software designed for manufacturing industries to enhance performance, predict downtime, and facilitate communication with factory equipment. By leveraging machine learning and AI technologies, Allie enables real-time monitoring, predictive maintenance, and quality control. The platform offers features such as secure edge gateway connectivity, real-time factory streaming analytics, machine learning for predicting downtime, and FactoryGPT for interactive communication with the factory. Allie caters to discrete and hybrid manufacturing sectors, providing tailored solutions for construction materials, foods, liquids and beverages, and electric components. The application aims to improve operational efficiency, reduce downtime, and enhance overall productivity in manufacturing environments.

MaestroQA is a comprehensive Call Center Quality Assurance Software that offers a range of products and features to enhance QA processes. It provides customizable report builders, scorecard builders, calibration workflows, coaching workflows, automated QA workflows, screen capture, accurate transcriptions, root cause analysis, performance dashboards, AI grading assist, analytics, and integrations with various platforms. The platform caters to industries like eCommerce, financial services, gambling, insurance, B2B software, social media, and media, offering solutions for QA managers, team leaders, and executives.

Captain is a leading delivery management software designed to streamline and optimize food delivery operations for restaurant chains. It offers a comprehensive solution that includes automated dispatching, driver tracking, kitchen management, and performance analytics. With features like AI-powered dispatch automation, branded tracking experiences, and data-driven insights, Captain helps businesses improve efficiency, reduce delivery times, and enhance customer satisfaction. Trusted by nation-wide pizza chains and market-leading POS systems, Captain is known for its intuitive interface, flexibility in delivery options, and ability to cater to businesses of all scales.

MARZ is a technology and VFX company specializing in providing feature-film quality visual effects for TV productions. With a focus on innovation and leveraging proprietary AI solutions, MARZ aims to deliver outstanding VFX on fast timelines while remaining affordable for TV productions. The company has completed numerous projects, received industry recognition, and offers a range of services tailored to the unique challenges of TV production.

Leapmax is a workforce analytics software designed to enhance operational efficiency by improving employee productivity, ensuring data security, facilitating communication and collaboration, and managing compliance. The application offers features such as productivity management, data security, remote team collaboration, reporting management, and network health monitoring. Leapmax provides advantages like AI-based user detection, real-time activity tracking, remote co-browsing, collaboration suite, and actionable analytics. However, some disadvantages include the need for employee monitoring, potential privacy concerns, and dependency on internet connectivity. The application is commonly used by contact centers, outsourcers, enterprises, and back offices. Users can perform tasks like productivity monitoring, app usage tracking, communication and collaboration, compliance management, and remote workforce monitoring.

STOREE.AI is an AI-powered platform that empowers retail teams with actionable insights and AI agents, serving as trusted extensions in the digital realm. It offers sophisticated AI agents that analyze sales data, inventory levels, and track goal progression to provide tailored insights and motivation for sales teams. The platform integrates unique leadership styles and expertise into decision-making processes, enabling retailers to refine strategies and make relationship-driven decisions.

UJET is a cloud-based contact center platform that provides a variety of features to help businesses improve their customer experience. These features include omnichannel support, AI-powered virtual agents, and real-time analytics. UJET is designed to be easy to use and affordable, making it a good option for businesses of all sizes.

EVE is an official PyTorch implementation of Unveiling Encoder-Free Vision-Language Models. The project aims to explore the removal of vision encoders from Vision-Language Models (VLMs) and transfer LLMs to encoder-free VLMs efficiently. It also focuses on bridging the performance gap between encoder-free and encoder-based VLMs. EVE offers a superior capability with arbitrary image aspect ratio, data efficiency by utilizing publicly available data for pre-training, and training efficiency with a transparent and practical strategy for developing a pure decoder-only architecture across modalities.

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.

The collection of pre-trained, state-of-the-art AI models. ailia SDK is a self-contained, cross-platform, high-speed inference SDK for AI. The ailia SDK provides a consistent C++ API across Windows, Mac, Linux, iOS, Android, Jetson, and Raspberry Pi platforms. It also supports Unity (C#), Python, Rust, Flutter(Dart) and JNI for efficient AI implementation. The ailia SDK makes extensive use of the GPU through Vulkan and Metal to enable accelerated computing. # Supported models 323 models as of April 8th, 2024

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

This repository contains custom recipes for H2O Driverless AI, which is an Automatic Machine Learning platform for the Enterprise. Custom recipes are Python code snippets that can be uploaded into Driverless AI at runtime to automate feature engineering, model building, visualization, and interpretability. Users can gain control over the optimization choices made by Driverless AI by providing their own custom recipes. The repository includes recipes for various tasks such as data manipulation, data preprocessing, feature selection, data augmentation, model building, scoring, and more. Best practices for creating and using recipes are also provided, including security considerations, performance tips, and safety measures.

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. |  |

HuixiangDou is a **group chat** assistant based on LLM (Large Language Model). Advantages: 1. Design a two-stage pipeline of rejection and response to cope with group chat scenario, answer user questions without message flooding, see arxiv2401.08772 2. Low cost, requiring only 1.5GB memory and no need for training 3. Offers a complete suite of Web, Android, and pipeline source code, which is industrial-grade and commercially viable Check out the scenes in which HuixiangDou are running and join WeChat Group to try AI assistant inside. If this helps you, please give it a star ⭐

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

This repository tracks the latest research on machine unlearning in large language models (LLMs). It offers a comprehensive list of papers, datasets, and resources relevant to the topic.

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.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

This repository is an updating survey for Continual Learning of Large Language Models (CL-LLMs), providing a comprehensive overview of various aspects related to the continual learning of large language models. It covers topics such as continual pre-training, domain-adaptive pre-training, continual fine-tuning, model refinement, model alignment, multimodal LLMs, and miscellaneous aspects. The survey includes a collection of relevant papers, each focusing on different areas within the field of continual learning of large language models.

This repository contains a collection of research papers related to watermarking techniques for text and images, specifically focusing on large language models (LLMs). The papers cover various aspects of watermarking LLM-generated content, including robustness, statistical understanding, topic-based watermarks, quality-detection trade-offs, dual watermarks, watermark collision, and more. Researchers have explored different methods and frameworks for watermarking LLMs to protect intellectual property, detect machine-generated text, improve generation quality, and evaluate watermarking techniques. The repository serves as a valuable resource for those interested in the field of watermarking for LLMs.

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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.

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