Neowin

LaBSE, a new language-agnostic embedding model, supports 109 languages with SOTA accuracy

Language-agnostic BERT Sentence Embedding (LaBSE), is a multilingual BERT embedding model that supports language-agnostic cross-lingual sentence embeddings for 109 languages by combining MLM and TLM.

RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk

Fine-tuning RAG embedding models for precision triggers a retrieval accuracy tradeoff that standard benchmarks won't catch ...
InfoQ

Meta Open-Sources Large Concept Model, a Language Model That Predicts Entire Sentences

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
InfoQ

Jina AI's Open-Source Embedding Model Outperforms OpenAI's Ada

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andres Almiray, a serial open-source ...
Dataquest

Google Gemini Embedding 2: Multimodal AI Model for Enterprise Search

Google has introduced Gemini Embedding 2, its latest multimodal AI model designed to process text, images, video, audio and documents in a unified vector space. AI has been changing swiftly to the non ...