AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SEA-CLIP-Tiny is introduced, a compact multilingual text-vision embedding model for Southeast Asia with fewer than 50M parameters that adapts a CLIP-KD-style framework to Southeast Asian multilingual settings through regional data curation and multilingual teacher guidance.
This work introduces the Cross-Cultural, Cross-Modal, Cross-lingual Multimodal (3XCM) benchmark, and suggests that achieving equitable multimodal retrieval necessitates targeted strategies that explicitly decouple language from culture, rather than relying solely on broader data exposure.
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