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Making Your Company LLM-native // Francisco Ingham // #266

MLOps.community

NOTE

Leverage LLMs Wisely: Use When Necessary

Utilize language models (LLMs) only when conventional methods are insufficient; apply them selectively to enhance complex tasks where automation and natural processing are essential. Recognize the inherent stochasticity in LLM outputs, which introduces uncertainty and variability that can compromise performance assessments. Opt for rule-based evaluations where feasible to maintain greater control and stability in performance measurements. When LLMs are necessary, implement clear evaluation metrics to compare outputs, focusing on binary results for clarity or comparing against reference answers for qualitative analysis. Tailor the evaluation strategy to the specific use case to ensure optimal outcomes.

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