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UID:pretalx-pydata-london-2026-SUJZCA@pretalx.com
DTSTART;TZID=GMT:20260605T160000
DTEND;TZID=GMT:20260605T173000
DESCRIPTION:Large Language Models (LLMs) are becoming central to modern app
 lications\, yet effectively evaluating their performance remains a signifi
 cant challenge. How do you objectively compare different models\, benchmar
 k the impact of fine-tuning\, or ensure your LLM responses adhere to safet
 y guidelines (guard-railing)? This hands-on workshop addresses these criti
 cal questions.
DTSTAMP:20260602T223432Z
LOCATION:Grand Hall 1
SUMMARY:Do you know how well your model is doing? Evaluate your LLMs - Cheu
 k Ting Ho
URL:https://pretalx.com/pydata-london-2026/talk/SUJZCA/
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