PRISM: Prompt-Refined In-Context System Modelling for Financial Retrieval
📰 ArXiv cs.AI
PRISM is a training-free framework for financial information retrieval using prompt-refined in-context system modeling
Action Steps
- Utilize large language models (LLMs) as a foundation for financial information retrieval
- Implement refined system prompting to improve the accuracy of extracted information
- Apply in-context learning (ICL) to adapt to specific financial retrieval tasks
- Integrate lightweight multi-agent coordination for efficient document and chunk ranking
Who Needs to Know This
Data scientists and AI engineers on a team can benefit from PRISM as it enables efficient extraction of task-relevant information from financial filings, while product managers can leverage it for informed decision-making
Key Insight
💡 PRISM enables efficient extraction of task-relevant information from financial filings without requiring training data
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📊 PRISM: a training-free framework for financial info retrieval using prompt-refined in-context system modeling
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