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PRODID:-//pretalx//pretalx.com//pyconde-pydata-2026//talk//QX8DDJ
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TZID:Europe/Berlin
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DTSTART:20250416T000000
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DTSTART:20251026T030000
RDATE:20261025T030000
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DTSTART:20260329T030000
RDATE:20270328T030000
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SUMMARY:Do you know how well your model is doing? Evaluate your LLMs - Che
 uk Ting Ho
DTSTART;TZID=Europe/Berlin:20260416T131000
DTEND;TZID=Europe/Berlin:20260416T144000
DTSTAMP:20260817T135314Z
UID:pretalx-pyconde-pydata-2026-QX8DDJ@pretalx.com
DESCRIPTION:Large Language Models (LLMs) are becoming central to modern ap
 plications\, yet effectively evaluating their performance remains a signif
 icant challenge. How do you objectively compare different models\, benchma
 rk the impact of fine-tuning\, or ensure your LLM responses adhere to safe
 ty guidelines (guard-railing)? This hands-on workshop addresses these crit
 ical questions.
LOCATION:Dynamicum [Ground Floor]
URL:https://pretalx.com/pyconde-pydata-2026/talk/QX8DDJ/
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