Generative AI is transforming every sector, but in financial services its adoption comes with unique stakes: compliance, trust, and systemic risk. While large language models (LLMs) and other AI systems promise productivity gains across research, compliance, trading, and customer engagement, they also introduce challenges that generic benchmarks cannot adequately address.
This tension was at the heart of the recent FINOS workshop and techsprint in London, where engineers, architects, developers and open-source contributors working in the FSI converged to shape an Evaluation Framework for AI in Finance.
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