Galileo, a pioneer in enterprise generative AI, has introduced Galileo Luna, a revolutionary suite of Evaluation Foundation Models (EFMs) that is set to redefine how enterprises evaluate their GenAI systems. Luna aims to tackle the challenges of speed, cost, and accuracy that have hindered the widespread adoption of generative AI in production environments.
Vikram Chatterji, Co-Founder and CEO of Galileo, explained that Luna was developed to overcome the limitations of current GenAI evaluation methods, which were slow, expensive, and often inaccurate. The motivation behind Luna was the necessity for ultra-low-latency, cost-effective, and high-accuracy evaluations in production environments.
The creation of Luna represents a significant milestone for Galileo, showcasing the company’s dedication to pushing the boundaries of AI evaluation. Through nearly a year of intensive research and development, Luna has emerged as a game-changer in the field of enterprise GenAI.
Luna’s innovation lies in its purpose-built small language models, tailored for specific evaluation tasks such as hallucination detection, context quality assessment, data leakage prevention, and malicious prompt identification. This specialized design enables Luna to deliver unmatched performance in terms of speed, cost, and accuracy.
Chatterji highlighted Luna’s superiority over competitors like GPT-3.5, Trulens Groundedness, and RAGAS Faithfulness, showcasing Luna’s exceptional accuracy in assessing enterprise generative AI systems. With Luna’s ability to operate without traditional ground truth datasets, the potential applications of this groundbreaking technology are vast, particularly in industries that demand high reliability and speed in AI evaluations.
As the landscape of generative AI continues to evolve, Galileo remains committed to advancing Luna in terms of expanding support for more evaluation task types, improving accuracy, and reducing cost and latency. With Luna’s launch, Galileo has cemented its position as a leader in enterprise GenAI evaluation, offering fast, cost-effective, and accurate evaluations that will drive widespread adoption and unlock the full potential of generative AI technology.