EmbeddingGemma Sets New Benchmark for Lightweight Text Embeddings
EmbeddingGemma, a 300 M-parameter model from Gemma 3, hits state-of-the-art results on the Massive Text Embedding Benchmark and stays under 500 M parameters. Read more: getnews.me/embeddinggemma-sets-new-... #embeddinggemma #textembedding
Conan-Embedding‑v2 Advances LLM‑Based Text Embedding with 1.4B Parameters
Conan-Embedding-v2 is a 1.4 billion‑parameter model built for text embedding that outperformed prior systems on the Massive Text Embedding Benchmark (MTEB). Read more: getnews.me/conan-embedding-v2-advan... #conanembeddingv2 #textembedding
VN-MTEB: Vietnamese Massive Text Embedding Benchmark
Loc Pham, Minh Nguyen et al.
Paper
Details
#VN_MTEB #TextEmbedding #VietnameseNLP
Compatible with existing embed_content endpoint via #GoogleAIStudio 📊 Outperforms previous #textembedding models across diverse tasks including retrieval and classification
developers.googleblog.com/en/gemini-e...
