Galileo has introduced Luna, an Evaluation Foundation Model designed to detect language model hallucinations with high accuracy and low cost. Luna utilizes intelligent chunking, multi-task training, and token-level evaluation for its development.
👉 TOMORROW we're unveiling a year's worth of R&D behind Luna – our family of Evaluation Foundation Models! See the future of instant, accurate, low cost hallucination detection: https://t.co/6iLZpzkw36 #ML #MachineLearning #LLM #LLMOps #AI #GenAI #DataScience #DataEngineering https://t.co/yD5sYHvYht
Galileo Launches Luna: A Breakthrough Evaluation Foundation Model for Accurate, Low-Cost Language Model Hallucination Detection #AI #AItechnology #artificialintelligence #Galileo #llm #Luna #machinelearning https://t.co/BUHhxgdcl6 https://t.co/0w6tWe2p5N
Galileo Introduces Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost The Galileo Luna represents a significant advancement in language model evaluation. It is specifically designed to address the prevalent issue of… https://t.co/nWmb94Z5NV
🌝 Last week we announced Luna – our family of Evaluation Foundation Models – capable of instant, accurate, low cost hallucination detection! Read our research paper to understand how we developed Luna, including intelligent chunking, multi-task training, token-level evaluation… https://t.co/dN9Nw8GOjS
RAG systems excel but still suffer from hallucinations in production. Existing hallucination detection solutions are costly, slow, and limited to specific domains. Luna is a new alternative: ▪️ 97% cheaper than GPT-3.5 ▪️ 91% faster than GPT-3.5 Here's how it works: https://t.co/L02C3OlxG7