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Grounding LLMs in reality: How one company achieved 70% productivity boost with gen AI
Drip Capital overcame AI challenges like hallucinations, improved document processing efficiency and applied AI to risk assessment.
The company, which has raised more than $500 million in debt and equity funding, is employing large language models (LLMs) to automate document processing, enhance risk assessment and dramatically increase operational efficiency. Rather than attempting to build their own LLMs, sophisticated Retrieval Augmented Generation (RAG), or engage in complex fine-tuning, the company has focused on optimizing their use of existing models through careful prompt engineering. Their success demonstrates the potential of generative AI to transform operations when implemented thoughtfully, with a focus on practical applications and a commitment to maintaining high standards of accuracy and compliance.
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