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DTSTART:20241027T030000
RDATE:20251026T030000
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DTSTART:20250330T030000
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SUMMARY:Responsible AI with fmeval - an open source library to evaluate LL
 Ms - Mia Chang
DTSTART;TZID=Europe/Berlin:20250425T132000
DTEND;TZID=Europe/Berlin:20250425T135000
DTSTAMP:20260809T100711Z
UID:pretalx-pyconde-pydata-2025-KTJY9V@pretalx.com
DESCRIPTION:The term "Responsible AI" has seen a threefold increase in sea
 rch interest compared to 2020 across the globe. As developers\, the questi
 ons like "How can we build large language model-enabled applications that 
 are responsible and accountable to its users?" encountered in the conversa
 tion more often than before. And the discussion is further compounded by c
 oncerns surrounding uncertainty\, bias\, explainability\, and other ethica
 l considerations.\n\nIn this session\, the speaker will guide you through 
 fmeval\, an open-source library designed to evaluate Large Language Models
  (LLMs) across a range of tasks. The library provides notebooks that you c
 an integrate into your daily development process\, enabling you to identif
 y\, measure\, and mitigate potential responsible AI issues throughout your
  system development lifecycle.
LOCATION:Europium2
URL:https://pretalx.com/pyconde-pydata-2025/talk/KTJY9V/
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