Labelbox is an AI platform with a data-centric approach, designed to enable users to develop and leverage AI applications. It offers capabilities for training and fine-tuning models, and for automating tasks through the use of LLMs (Labelbox Machine Learning Models).
Functionally, Labelbox employs cookies to improve user experience, analyze site traffic, support marketing activities, and gain insights into user interaction with the platform.
Essential cookies facilitate basic functions like navigating pages and accessing secure areas. Preference cookies allow the platform to remember settings specific to the user, like language or region preferences.
Labelbox also utilizes statistic cookies to help website owners understand how visitors engage with the platform. The data is collected and reported in an anonymized form.
Furthermore, Labelbox integrates cookies from various providers to optimize particular features and functionalities. These providers include Intercom, LinkedIn, YouTube, ZoomInfo, Cloudflare, Bizible, Cookiebot, and Heap Analytics.
The cookies from each provider serve distinct purposes, such as identifying returning visitors, managing support notifications, enabling load balancing, and allowing users to log in using third-party applications.
In summary, Labelbox's AI platform gives users the tools to develop AI applications, train and fine-tune models, and automate tasks using LLMs. The platform uses cookies and statistics to enhance user experience and gain insights into visitor behavior.
The integration of cookies from multiple third-party providers ensures optimized functionality across different areas of the platform.

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