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The talks introduce GEE with a focus on the latest remote sensing foundational model from GDM, AlphaEarth Foundations. Unified Data Representation: They integrate vast and diverse Earth observation data—including optical satellite images, radar, 3D laser mapping, and climate simulations—into a single, unified embedding that computers can easily process. High Efficiency and Detail: The embeddings are highly compact, requiring 16 times less storage space than other tested AI systems, which dramatically reduces the cost of planetary-scale analysis while still characterizing the Earth in sharp 10x10 meter squares. Accurate, On-Demand Mapping: This technology enables scientists to create detailed and consistent maps on-demand with high accuracy, even in areas with sparse data, to better monitor critical issues like deforestation, urban expansion, and water resources.

Overview of using DSPy for automated prompt creation and tuning, Prolog-style reasoning to improve GPT-3.5 accuracy on GSM8K, and guidance on when to use various prompting techniques, with metrics and open-source workflows.