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SUPA | Generative AI Explore our Generative AI solutions, designed to empower innovation with cutting-edge models, expert fine-tuning, and robust evaluation frameworks for creating intelligent, responsible, and high-performing AI systems
SUPA – About Our proprietary suite of AI tools incorporates the latest in foundational models and features like automated pre-annotation and our innovative 'Magic Wand' tool
2025 – We SUPA AI Blog Discover how SUPA’s Advent of Code (Expanded, Curated, Verified) Dataset accelerates code generation research Explore Python, JavaScript, and Ruby solutions, verified test cases, and integrations for robust AI training—all available on Hugging Face
February, 2025 – We SUPA AI Blog Discover how SUPA’s Advent of Code (Expanded, Curated, Verified) Dataset accelerates code generation research Explore Python, JavaScript, and Ruby solutions, verified test cases, and integrations for robust AI training—all available on Hugging Face
Local vs Global: Testing GPT-4o-mini and SEA-LIONv3 on . . . - blog. supa. so For AI to be effective in this region, it must go beyond basic translation and grasp nuance, tradition, and social dynamics This evaluation compares GPT-4o-mini, a general-purpose model, against SEA-LIONv3, a model f ine-tuned for Southeast Asia
Strengthening AI Governance in Southeast Asia – We SUPA AI Blog By embracing flexibility, resilience, and proactive risk management, Southeast Asia can set a global benchmark for ethical AI innovation Need help navigating AI governance in Southeast Asia? SUPA offers expert guidance and solutions Contact isaac@supa so or visit our website
AI Safety and Governance: Why It Matters More Than Ever – We SUPA AI Blog AI safety isn’t just about preventing harm—it’s about ensuring AI works for everyone Whether eliminating bias, fighting misinformation, or protecting privacy, AI developers, policymakers, and users must work together to build ethical, fair, and inclusive AI systems
SUPA’s strategic use of graphic design experts for generative model . . . SUPA partnered with a U S -based Generative AI (GenAI) company specializing in multimodal AI systems for design asset generation The client’s goal was to refine a generative adversarial network (GAN) architecture capable of producing vectorized design assets across industries like gaming, architecture, and e-commerce