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Explore EVE (Earth Virtual Expert), an open-source domain-specific large language model designed to democratize access to Earth Observation and Earth Science knowledge in this 34-minute conference talk. Learn how this innovative AI system, backed by the European Space Agency and developed by Pi School and Imperative Space, bridges artificial intelligence and Earth Observation through domain-adaptive pre-training, instruction tuning, and Retrieval-Augmented Generation. Discover how EVE serves multiple user groups including scientists, students, journalists, and decision-makers by enabling factual, source-grounded, and explainable interactions with Earth Observation content. Examine the comprehensive training pipeline, data compliance approach, and performance benchmarks that make EVE effective for Earth Science applications. Gain insights into the open-source contributions including models, datasets, and legal compliance guides that support the broader research community. Review lessons learned from human evaluations, understand the infrastructure challenges encountered during development, and explore the roadmap toward creating a comprehensive Earth Observation digital assistant that can transform how we access and interact with Earth Science information.
