Google AI has unveiled the Gemini Embedding, a novel embedding model designed to create highly generalizable text representations across various languages and domains. This model is initialized from the powerful Gemini Large Language Model, enhancing its ability to generate versatile text embeddings. The Gemini Embedding team, which includes contributors such as Leejnhk, Kfrancischen, Michael Boratko, and Iftekhar Naim, has emphasized the model's advanced capabilities, including support for multiple representation layers (MRL) with dimensions of [3072, 1536, 768]. The introduction of this state-of-the-art model marks a significant advancement in the fields of artificial intelligence and machine learning, particularly in semantic similarity and data science applications.
Google AI Launches Gemini Embedding: Next-Gen Multilingual Text Representation Model #EmbeddingModels #ArtificialIntelligence #MachineLearning #SemanticSimilarity #DataScience https://t.co/A7mIWHZq8f https://t.co/0KOymfGJeu
Google AI Introduces Gemini Embedding: A Novel Embedding Model Initialized from the Powerful Gemini Large Language Model The Gemini Embedding Team at Google introduces Gemini Embedding, a state-of-the-art model that generates highly generalisable text representations. Built on… https://t.co/pzcDYBd58j
Gemini Embedding just slaps! Such a good model 🚀 Has native MRL🪆 support of [3072, 1536, 768]! More details in the paper -- see the first comment. Great work by @leejnhk @kfrancischen @MichaelBoratko @IftekharNaim and team. https://t.co/p4RMapmeks