Welcome to the tag category page for Model!
Cults 3D is a digital marketplace for 3D printing and design, offering a 3D model library with various file formats including STL, OBJ, 3MF, and CAD. They specialize in providing a platform where users can discover and download high-quality 3D printing projects for various applications using different 3D printing technologies such as FDM, SLA, DLP, and SLS. Cults 3D is one of the world's leading independent websites for 3D printer files, and they offer a wide range of free STL files, 3D print models, and 3D printing designs. They also have a social media presence on Instagram with the handle @cults3d. Additionally, Cults 3D has a selection of unique and custom handmade pieces available for purchase on Etsy.
Image generators are AI systems that produce new images from text prompts or other inputs. They rely on diffusion models and transformer architectures to create visuals for art, product design, advertising, and media. These tools are increasingly integrated into consumer apps, design workflows, and content pipelines.
A digital twin is a virtual representation of a physical object, system, or process, created to accurately reflect the real-world object for simulation, testing, monitoring, integration, and maintenance purposes. It uses real-time data fed from sensors on the physical object to simulate its behavior and performance. Digital twin technology has been applied in various sectors, from manufacturing and architecture to healthcare, and is becoming increasingly popular in the era of the Internet of things (IoT) and artificial intelligence (AI). Digital twin software enables monitoring of assets' performance in real-time, predicting potential maintenance needs, optimizing assets for peak performance, and creating a virtual simulation of an entire environment for more sophisticated experiences. Finally, digital twins have the potential to revolutionize industries by providing valuable insights into various scenarios, facilitating innovation, and driving cost savings.
AI Platform is a technology platform that provides RESTful services for managing jobs, models, and versions, and for making predictions with hosted models on the cloud. It enables the development and deployment of artificial intelligence (AI) and machine learning (ML) models, with a focus on delivering solutions that improve people's lives. Top AI platforms include Google, Amazon, Microsoft, H2O.ai, IBM, Google Brain team, DataRobot, Wipro Holmes, and Azure. Google Cloud AI provides modern machine learning services, including pre-trained models and tailored models, with minimum effort and machine learning expertise. Microsoft's AI platform is called Azure AI Platform. The most popular AI may refer to various metrics, including adoption, research citations, and impact. Google's AI is called Google AI.
MLflow is an open-source platform designed to streamline the machine learning development process. It includes components such as Tracking, which allows users to record and compare parameters and results from experiments, Projects, which packages code for reproducible runs on any platform, and Models, which manages and tracks models from training to production. MLflow is known for its versatility and ease of use, making it a popular choice for managing the entire lifecycle of a machine learning project. It provides capabilities for versioning models, tracking experimentation, and deploying models to production. Overall, MLflow is a powerful tool that simplifies and enhances the machine learning development process.
Long-term memory refers to the stage of memory in which knowledge and information are stored indefinitely. It involves the transfer of information from short-term memory into long-term storage, creating enduring memories. Long-term memory is essential for retaining past events, knowledge, and skills over a long period of time, sometimes even for a lifetime. There are two types of long-term memory: declarative or explicit memory, which is information that can be consciously recalled, and non-declarative or implicit memory, which is knowledge that is retrieved unconsciously. The process of long-term memory involves three phases: acquisition, storage, and retrieval. Overall, long-term memory plays a crucial role in our ability to remember and learn from past experiences.
Machine learning models are programs that can find patterns or make decisions from previously unseen data. They fall into two main categories: supervised and unsupervised. Supervised models are further subcategorized into regression, classification, or sequence prediction. Unsupervised models include clustering and association. Regression models are used to predict continuous values, classification models are used to predict categories, and sequence prediction models are used to predict sequences of data. Examples of machine learning models in real-world applications include image recognition and natural language processing. Overall, machine learning models are powerful tools in the field of data science, as they can help organizations analyze and understand complex data patterns to improve decision-making processes.
3D Modeling App is a software application that allows users to create and design 3D models, objects, and graphics. It offers features such as sculpting, drawing, and designing characters and games. Some apps are available on both Android and iOS devices, enabling users to create 3D models on their mobile devices. The apps vary in complexity, with some being suitable for beginners and others geared towards professional users. SketchUp and Shapeyard are popular examples of 3D Modeling Apps that offer a simple yet robust toolset for creating 3D designs. These apps can be used for a range of purposes, including 3D printing or creating CGI graphics. Overall, 3D Modeling Apps provide users with a convenient and accessible way to explore and create in the world of 3D design.
AI Builder refers to low-code/no-code AI tooling—most prominently Microsoft’s AI Builder within the Power Platform—that lets business users create, customize, and deploy AI models without deep data science expertise. Public market participants related to this trend include Microsoft Corporation (MSFT). It supports prebuilt models and custom models for tasks such as document processing, form recognition, classification, and automating repetitive workflows when paired with Power Automate. Organizations use it to extract insights from data, speed app development, and reduce reliance on specialized engineering teams through trial licensing and drag‑and‑drop interfaces. The capability is positioned for line‑of‑business teams aiming to operationalize AI quickly and cost‑effectively across processes like invoice processing, customer triage, and simple prediction tasks. By abstracting model training and deployment details, AI Builder lowers the barrier for experimentation and scaling of automation, while still requiring governance around data quality and model monitoring. In the broader market, such platformized AI features compete with other enterprise cloud and automation offerings and are often embedded in vendor ecosystems to drive adoption by nontechnical users.
