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VERSION:2.0
PRODID:-//pretalx//cfp.pydata.org//pydataglobal2025//talk//ATM79G
BEGIN:VEVENT
UID:pretalx-pydataglobal2025-ATM79G@cfp.pydata.org
DTSTART:20251211T120000Z
DTEND:20251211T123000Z
DESCRIPTION:Small Language Models (SLMs) are designed to deliver high perfo
 rmance with significantly fewer parameters compared to Large Language Mode
 ls (LLMs). Typically\, SLMs range from 100 million to 30 billion parameter
 s\, enabling them to operate efficiently on devices with limited computati
 onal resources\, such as smartphones and embedded systems
DTSTAMP:20260518T184605Z
LOCATION:Machine Learning & AI
SUMMARY:How Big are SLMs - Jayita Bhattacharyya
URL:https://cfp.pydata.org/pydataglobal2025/talk/ATM79G/
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