The article discusses the development of a RAG-based system for climate finance by a small startup team. It emphasizes the importance of addressing large-scale financial challenges linked to climate initiatives. The speaker shares insights on progressing from initial development stages to first users, the constraints encountered due to limited resources, and the need for innovative solutions. Ultimately, the experience of working in a climate-focused AI startup is framed as both challenging and rewarding, providing valuable lessons in a nascent industry.
In developing a RAG-based system for climate finance at an early-stage startup, we approached significant technical challenges with a small, dedicated team.
Understanding the core problem context of climate finance is essential, as it involves large-scale financial solutions addressing global climate initiatives rather than local endeavors.
Working in a climate and AI startup offers rich experiences due to the intersection of deeply impactful work and rapid technological advances.
We made our early gains by understanding development constraints while effectively utilizing large language models in our solutions.
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