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How Flo Mitigates AI Hallucinations for 75 Million Active Users | Roman Bugaev (CTO)

Building With AI

CHAPTER

Addressing Bias and ROI in LLMs

This chapter explores the challenges of bias in large language models (LLMs) and the intricacies involved in their deployment, particularly in sectors like healthcare. It discusses the importance of testing and refining models to mitigate bias and highlights the differing returns on investment across various industries. The conversation emphasizes the need for upskilling teams and adapting methodologies to leverage LLMs effectively, while managing issues like AI 'hallucination' to ensure reliable outcomes.

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