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UID:pretalx-pyconde-pydata-2024-QYPLJE@pretalx.com
DTSTART;TZID=CET:20240424T144500
DTEND;TZID=CET:20240424T151500
DESCRIPTION:With the latest advancements in Natural Language Processing and
  Large Language Models (LLMs)\, and big companies like OpenAI dominating t
 he space\, many people wonder: Are we heading further into a black box era
  with larger and larger models\, obscured behind APIs controlled by big te
 ch monopolies?\n\nI don’t think so\, and in this talk\, I’ll show you 
 why. I’ll dive deeper into the open-source model ecosystem\, some common
  misconceptions about use cases for LLMs in industry\, practical real-worl
 d examples and how basic principles of software development such as modula
 rity\, testability and flexibility still apply. LLMs are a great new tool 
 in our toolkits\, but the end goal remains to create a system that does wh
 at you want it to do. Explicit is still better than implicit\, and composa
 ble building blocks still beat huge black boxes.
DTSTAMP:20260717T104045Z
LOCATION:B07-B08
SUMMARY:The AI Revolution Will Not Be Monopolized: How open-source beats ec
 onomies of scale\, even for LLMs - Ines Montani
URL:https://pretalx.com/pyconde-pydata-2024/talk/QYPLJE/
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