Users can create and use AI applications with Labelbox, a data-centric AI platform. Using LLMs (Labelbox Machine Learning Models), the platform allows users to automate processes and train and fine-tune models.
Functionality-wise, Labelbox uses cookies to improve user experience, track site traffic, support marketing initiatives, and comprehend user behavior on the platform.
Cookies that are necessary for fundamental functions like website navigation and access to secure sections are used. The platform may remember user-specific data, including favorite language or area, thanks to preferences cookies.
Additionally, Labelbox uses statistic cookies to assist website owners in obtaining data regarding visitor behavior on the platform. These numbers are gathered and released in an anonymous manner.
Additionally, Labelbox optimizes some features and functionality by using cookies from different suppliers. Intercom, LinkedIn, YouTube, ZoomInfo, Cloudflare, Bizible, Cookiebot, and Heap Analytics are some of these suppliers.
The functions of each provider’s cookies vary; some include load balancing, visitor recognition, control over support notifications, and enabling third-party application logins.
All things considered, customers may create AI applications, train and optimize models, and use LLMs to automate processes with Labelbox’s AI platform. Cookies and data are used by the platform to improve user experience and track visitor behavior.
The platform’s numerous features are adjusted for individual users thanks to the incorporation of cookies from third-party sources.
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