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UID:pretalx-pyconde-pydata-2026-BFL7MQ@pretalx.com
DTSTART;TZID=CET:20260414T103000
DTEND;TZID=CET:20260414T111500
DESCRIPTION:Python has been at the center of my work in machine learning an
 d AI for more than a decade. It is where I start from scratch\, experiment
  with ideas\, and build systems that help me understand how large language
  models really work.\n\nIn this keynote\, we will explore how Python enabl
 es this entire journey\, from defining model architectures and training lo
 ops to scaling data and computation across devices. I will also reflect on
  how Python continues to support both the large models of today and the ev
 olving systems of tomorrow\, even as new backends take over the heavy lift
 ing.
DTSTAMP:20260412T141742Z
LOCATION:Merck Plenary (Spectrum)  [1st Floor]
SUMMARY:From Scratch to Scale: Turning LLM Code into Architecture Insights 
 - Sebastian Raschka
URL:https://pretalx.com/pyconde-pydata-2026/talk/BFL7MQ/
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UID:pretalx-pyconde-pydata-2026-9CYWET@pretalx.com
DTSTART;TZID=CET:20260414T143000
DTEND;TZID=CET:20260414T154500
DESCRIPTION:Chinese and American open-source LLMs are competing head-to-hea
 d — from DeepSeek and Qwen to Llama and Mistral. The model landscape is 
 broader than ever\, yet in Germany the debate still circles around waiting
  for the next breakthrough. Alexander Hendorf and Sebastian Raschka discus
 s what these models can and cannot do today\, what biases to watch for\, a
 nd which deployment strategies actually work in practice. The session rese
 rves substantial time for questions and discussion with the audience.
DTSTAMP:20260412T141742Z
LOCATION:Merck Plenary (Spectrum)  [1st Floor]
SUMMARY:Stop Waiting\, Start Shipping: Real-World Strategy for Open-Source 
 LLMs - Sebastian Raschka\, Alexander CS Hendorf
URL:https://pretalx.com/pyconde-pydata-2026/talk/9CYWET/
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