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[PDG 449] Context Rot: How Increasing Input Tokens Impacts LLM Performance

Event artwork for [PDG 449] Context Rot: How Increasing Input Tokens Impacts LLM Performance

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What to expect

Join the AI Paper Discussion Group in Karlsruhe for a virtual discussion on recent machine learning research. This session covers the study on context rot in Large Language Models (LLMs) and how increasing input tokens impacts their performance, featuring models like GPT-4.1 and Claude 4. Everyone is welcome to participate or listen in, with discussions in German or English.

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