AI in Action: How RAG Enhances GenAI Accuracy for Financial Research Data
When properly engineered with high-quality data, the Large Language Models (LLM) that drive generative AI can help firms across the financial sector materially strengthen workflows, collaboration, and compliance. This applies to the buy side and sell side as well as wealth managers, private equity firms, and corporations.
Learn how LLMs work and some of the upside potential and downside limitations. Because data accuracy is table stakes for financial professionals, we discuss the problem of AI hallucinations and emphasize an effective programmatic solution to stem them: retrieval augmented generation (RAG).
Download your free copy of our eBook AI in Action: How RAG Enhances GenAI Accuracy for Financial Research Data for perspective to help you realistically generate the most value from your investment in AI.
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