Erik Davtyan - How to Engineer Better Prompts Using Data Science
Автор: PyData
Загружено: 2025-12-17
Просмотров: 542
Erik Davtyan, Senior Software Engineer at Not Diamond, presents a talk on
“How to Engineer Better Prompts Using Data Science.”
Large Language Models can deliver strong results - but making those results consistent is still a challenge. This talk explores how data science methods can turn prompt engineering from trial and error into a more systematic, measurable process.
In this session, Erik dives into:
🔹 Why prompt engineering benefits from data-driven evaluation
🔹 How measuring and testing prompts improves LLM reliability
🔹 Practical approaches to prompt optimization
This talk was recorded during the PyData Yerevan November 2025 Meetup, held on November 26, 2025, at the American University of Armenia.
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