Introducing Mockingbird 2 - Vectara’s crosslingual grounded generation model
Blog post from Vectara
Mockingbird 2, the latest grounded generation model from Vectara, enhances crosslingual capabilities and builds on the success of Mockingbird 1, offering expanded language support for English, Spanish, French, Chinese, Japanese, Korean, and Arabic. It operates across SaaS, cloud, and on-premise environments, ensuring high accuracy in RAG responses without data leakage concerns. The model has been optimized for coherent, contextually appropriate text generation across various domains, with evaluations showing improved performance in crosslingual settings using metrics like AutoNugget, ROUGE, and BERTScore. Additionally, Mockingbird 2 incorporates advanced hallucination mitigation through the Hughes Hallucination Evaluation Model and Hallucination Correction Model, resulting in a low hallucination rate of 0.9% on the HHEM leaderboard. The MB2-Echo system, with under 10 billion parameters, is deployable on-premise or within any VPC, representing a significant advancement in crosslingual RAG-focused large language models.