Galileo Luna: Revolutionizing Enterprise GenAI Evaluation
The landscape of generative AI evaluation is being transformed by Galileo’s groundbreaking suite of Evaluation Foundation Models (EFMs) called Luna. Luna addresses the long-standing challenges of speed, cost, and accuracy that have hindered the widespread adoption of generative AI in production environments. With Luna, Galileo aims to provide ultra-low-latency, cost-effective, and high-accuracy evaluations for enterprise GenAI systems.
Unveiling Luna: A Milestone Achievement
Galileo has been at the forefront of enterprise GenAI since its inception in early 2021. The development of Luna marks a significant milestone for the company, demonstrating its dedication to pushing the boundaries of AI evaluation. Luna’s creation was the result of nearly a year-long intensive R&D process aimed at overcoming the limitations of current GenAI evaluation methods.
Outperforming Competitors in Accuracy
Luna’s Evaluation Foundation Models have outperformed leading AI evaluation methodologies in benchmark comparisons, achieving higher AUROC scores. With an AUROC value reaching 0.78, Luna demonstrates superior accuracy in assessing enterprise generative AI systems compared to competitors like GPT-3.5, Trulens Groundedness, and RAGAS Faithfulness.
Purpose-Built Models for Speed, Cost, and Accuracy
The innovation behind Luna lies in its purpose-built small language models specifically tailored for different evaluation tasks. These models enable Luna to deliver unmatched performance in terms of speed, cost, and accuracy. Evaluations performed with Luna are 97% cheaper and 11 times faster than those using GPT-3.5. Additionally, Luna’s multi-headed small language models and advanced techniques ensure better contextual understanding and more accurate evaluations.
Cost-Effective Evaluations
Luna significantly undercuts other methodologies in terms of cost. In a comparison of monthly costs for evaluating 1 million queries, Luna costs just $175 per month, making it up to 97% more cost-effective than alternatives like GPT-3.5, RAGAS Faithfulness, and Trulens Groundedness.
Revolutionizing Evaluation without Ground Truth Datasets
One of Luna’s most remarkable features is its ability to operate without traditional ground truth datasets. By leveraging pre-trained evaluation models fine-tuned on diverse, domain-specific datasets, Luna eliminates the need for creating custom test sets. This innovation streamlines the evaluation process and reduces dependence on extensive human-generated data.
Vast Applications in Reliable and Fast AI Evaluations
Luna finds relevance in industries that demand high reliability and speed in AI evaluations. Fortune 100 enterprises in healthcare, finance, and telecom are finding Luna particularly useful due to its ability to handle large-scale enterprise applications that require high volume and throughput.
Unrivaled Speed in AI Evaluation
Galileo’s Luna offers unrivaled speed in AI evaluation, with a latency of just 0.232 seconds for processing a single query. This makes it up to 11 times faster than competing approaches like GPT-3.5, Galileo Chainpoll, Trulens Groundedness, and RAGAS Faithfulness.
Customization and Continuous Evolution
Luna can be customized to meet specific customer requirements through Galileo’s Fine Tune product. This customization allows Luna to achieve accuracy levels of 95% or higher for critical tasks in industries such as pharmaceuticals and financial services. Galileo remains committed to expanding support for more evaluation task types, improving accuracy, and reducing cost and latency as the landscape of generative AI continues to evolve.
Galileo Luna: A Leader in Enterprise GenAI Evaluation
With the launch of Luna, Galileo solidifies its position as a leader in enterprise GenAI evaluation. Luna’s ability to deliver fast, cost-effective, and accurate evaluations will be crucial in driving widespread adoption of generative AI and unlocking its full potential in various industries. Galileo remains dedicated to providing cutting-edge evaluation capabilities that make AI practical for businesses to deploy, inspiring confidence and trust among consumers.