Major Financial Institutions Use Chainlink to Combat AI Hallucinations in $58B Corporate Actions Problem
Major Financial Institutions Use Chainlink to Combat AI Hallucinations in $58B Corporate Actions Problem
馃 AI's $58B Trust Problem
Swift, UBS, Euroclear, and 20+ organizations are tackling the $58B+ annual corporate actions problem using Chainlink's innovative approach to reduce AI hallucination risks.
The Solution:
- Uses multiple LLMs (GPT-4o, Gemini 1.5, Claude 3.5) in a consensus framework
- Instead of trusting a single AI prompt, employs a "swarm" of LLM-prompt combinations
- Outputs are compared for consensus鈥攊f all models agree, the result can be trusted
- Converts unstructured corporate action data into machine-readable JSON format
Why It Matters: LLM hallucinations remain a critical barrier to enterprise AI adoption. This architecture milestone demonstrates success in managing one of finance's most complex and costly unstructured data challenges.
Participating institutions include Franklin Templeton, Wellington Management, Vontobel, and Sygnum Bank. The framework is designed to work with any LLM model.
LLM hallucinations are a massive roadblock to enterprise adoption of AI. Swift, UBS, Euroclear, & 20+ major organizations advanced a solution to the $58B+ annual corporate actions problem by leveraging Chainlink to reduce AI hallucination risk. LINK everything.
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