At SUPA, we provide large‐scale data labeling that powers the development of frontier AI systems. Our expert teams work tirelessly to ensure advanced models remain safer, more steerable, and more reliable every step of the way.
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SUPA’s Bilingual Dataset for Evaluating Reasoning Skills in STEM Subjects
SUPA’s Bilingual Dataset for Evaluating Reasoning Skills in STEM Subjects
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Evaluating LLMs for Bahasa Indonesia: GPT-4o-mini vs SEA-LIONv3
We tested two large language models (LLMs), GPT-4o-mini and SEA-LIONv3, on their handling of Indonesian-specific questions. Through human expert evaluation of 50 questions across four categories, we found that SEA-LIONv3 excelled at understanding local details and nuances, while both models performed comparably on general language tasks. This difference highlights the potential of localized LLMs like…
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PRESS RELEASE – TDCX and SUPA tie-up to help companies address a key barrier in generative AI adoption
Collaboration provides companies with a one-stop-solution for their data labeling needs Human-in-the-loop model ensures greater accuracy in data labeling outputs Singapore, June 24, 2024 — TDCX, an award-winning digital customer experience (CX) solutions provider for technology and blue-chip companies, today announced a strategic tie-up with SUPA, a generative artificial intelligence (AI)-powered data labeling company,…
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SUPA Achieves SOC 2 Type II Certification: A New Level of Trust and Security for Our Customers
We are thrilled to announce that SUPA has achieved SOC 2 Type II certification, underscoring our commitment to the highest standards of data security and privacy. This milestone is not just a testament to our dedication but a direct benefit to you, our valued customers, especially as we navigate the complexities of data security in…
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PRESS RELEASE – Global Leader in AI Waste Intelligence Greyparrot.ai Expands to 89 Waste Categories, Powered by SUPA
Under every AI (Artificial Intelligence) model is a solid foundation of high-quality labeled data. SUPA.so, the exclusive data annotation partner to Greyparrot, the leading AI Waste Intelligence company, has enabled Greyparrot to expand its waste recognition library from 49 to 89 categories.
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What Happens When AI is Trained on Its Own Content?
Recent advances in generative AI image, text, and audio generation seem to promise endless potential. It’s gotten to the point where researchers are exploring the use of synthetic data generated by AI to train next generation models. However, some experts worry that doing this would cause these AI systems to be caught in harmful feedback loops. Given…
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If You Want Data Annotation Done Well, Build The Right Workforce
Quality data annotation begins with building the right workforce. Building an effective, motivated workforce, however, is no easy feat—especially when annotators are often crowdsourced & technically not full-time employees. The business case boils down to this: How do you cultivate a strong, invested team that consistently delivers good work, while still aligning to the on-demand business…
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