Post #1579

Hugging Face (Twitter) RT @rohanpaul_ai: ⚖️ Isaacus ,an Australian foundational legal AI startup, launched Kanon 2 Embedder. Its a SOTA legal embedding LLM, and unveiled the Massive Legal Embedding Benchmark (MLEB), an open-source benchmark for evaluating legal information retrieval performance across six jurisdictions. They claim Kanon 2 Embedder is 9% higher than OpenAI Text Embedding 3 Large, 6% higher than Google Gemini Embedding, and over 30% faster than both. Against Voyage 3 Large, it is more accurate and 340% faster while being smaller. MLEB spans 6 jurisdictions and 5 domains with 10 expert-curated datasets, covering decisions, statutes, regulations, contracts, and literature across retrieval, zero-shot classification, and question answering. On MLEB, legal-tuned models beat similar general models, and Kanon 2 is trained on millions of legal sources from 38 jurisdictions, taking 1st on 5 of 10 tasks. The foundation model behind the embedder also raises the... Перейти на оригинальный пост