Multilingual Semantic Search
This talk will discuss why multilingual semantic search is amazing, how respective models are trained, and the new use cases this unlocks.
Connecting Large Language Models with embeddings and semantic search on your own data has become widely popular. But how does this work in other languages and across languages? Join me for this talk why multilingual semantic search is amazing, how respective models are trained, and new use-cases this unlocks.
Nils Reimers
Nils Reimers did his Ph.D. and Post-Doc at the TU Darmstadt, where he created the foundation on how to use transformer networks for semantic search. After his post-doc, he joined Hugging Face to work on self-supervised domain adaptation for semantic search. Last year, Nils joined Cohere.com as director of machine learning to work on large language models for text understanding, including search, classification and text aggregation.
