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DTSTART;TZID=Asia/Dubai:20250503T130000
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SUMMARY:Importance and relevance of embedding models\, their construction\, and the methodology for selecting the appropriate architecture
DESCRIPTION:On May 3\, Ilia State University will host an event as part of Tbilisi AI Meetups: \n“Importance and relevance of embedding models\, their construction\, and the methodology for selecting the appropriate architecture.” \nIn the age of powerful large language models\, embeddings remain a critical component in retrieval\, recommendation\, and understanding systems. This session explores why embeddings still matter\, how they’re built\, and how to choose the right architecture for your domain and application. \nAgenda Highlights: \n\nContext length limitations and the rise of RAG;\nWhy LLMs aren’t ideal for embedding generation;\nCausal attention vs contrastive learning;\nSparse vs dense retrieval (TF-IDF\, SPLADE\, hybrid approaches);\nBi-Encoders vs Cross-Encoders vs Late Interaction;\nLatent interaction models and HNSW search;\nContrastive learning\, triple loss\, Siamese networks;\nSpeed vs accuracy trade-offs;\nDomain-specific embedding tuning (e.g.\, code vs text);\nEvaluation with BEIR and MTEB benchmarks.\n\n\nSpeaker: Sandro Barnabishvili \nDate & Time: Saturday\, May 3\, 13:00 \nRegister Here: https://lu.ma/n16g786u \nLocation: Ilia State University\, T Building\, Auditorium #102
URL:https://events.iliauni.edu.ge/event/02-05-2025-tbilisiaimeetups/
CATEGORIES:Events
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