3 stories tagged Embedding
Hugging Face has published a comprehensive guide on training and fine-tuning multimodal embedding and reranker models using Sentence Transformers. This resource is aimed at developers looking to enhance their multimodal applications with state-of-the-art techniques.
Researchers introduce Claim2Vec, a multilingual embedding model designed to group similar fact-checking claims. This innovation aims to improve automated fact-checking by efficiently clustering recurrent misinformation claims across languages.
NVIDIA has released a tool to fine-tune domain-specific embedding models quickly. This democratizes access to specialized AI applications.