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Because job candidates are able to describe their skills and experiences in an infinite number of ways, their model had difficulty delineating the skills and normalizing them against the company’s internal terminology. To improve the quality of their matching, the software company tapped Sama to help support two annotation workflows, providing named entity recognition (NER) and named entity normalization (NEN) using a three-annotator consensus approach.
Internationally known for its popular content sharing mobile apps, a Global Fortune 500 company wanted to improve its foundation models for the North American market. The technology company had several projects they wanted to tackle around caption writing and prompt and response evaluation but lacked the expertise in both context and English language proficiency to achieve the high model accuracy they required.
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Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
