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Sebastian Raschka

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Sebastian Raschka is an LLM Research Engineer with over a decade of experience in artificial intelligence. His work integrates academia and industry, focusing on high-performance AI systems and practical implementations. He also authors articles and resources on AI and LLM topics.

  • RoleLLM Research Engineer; author of Build a Large Language Model (From Scratch)
  • Total reach~589K (X + YouTube)
  • Citations13,605 citations
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Sebastian Raschka is an LLM Research Engineer with over a decade of experience in artificial intelligence. His career bridges academia and industry, having held positions such as senior engineer at Lightning AI and a statistics professor at the University of Wisconsin-Madison. His expertise lies in LLM research and the development of high-performance AI systems, emphasizing practical, code-driven implementations.

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Sebastian is also the author of 'Build a Large Language Model (From Scratch)', which showcases his commitment to educating others in the field of AI. His website serves as a hub for recent articles, books, talks, research links, and project resources related to AI and LLMs. He regularly shares insights on topics such as token sampling, watermark detection, and model training, making complex subjects accessible to a wider audience.

In addition to his academic contributions, Sebastian actively engages with the AI community through various projects and resources. His work not only advances the field of AI but also provides valuable learning paths for those interested in understanding and developing large language models. By focusing on practical applications, he aims to bridge the gap between theoretical knowledge and real-world implementation, helping others to harness the power of AI effectively.

  • CategoryOther AI Tools

  • Author of 'Build a Large Language Model (From Scratch)'

  • Senior engineer at Lightning AI

  • Statistics professor at University of Wisconsin-Madison

  • Focus on practical, code-driven implementations

  • Contributions to AI and LLM research

  • Educational resources on AI topics

  • Engagement with AI community

  • Video walkthroughs on AI concepts

  • Learning AI
  • Research Development
  • Model Implementation
  • Community Engagement
  • Professional Growth

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