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When AI Forgets: Understanding and Fighting Context Rot in Large Language Models
As generative AI models grow their context windows, a hidden problem emerges: more information often leads to worse answers. Known as context rot, this phenomenon reveals a U-shaped performance curve where accuracy peaks at moderate context sizes, then degrades as signal is buried in noise. Bigger memory doesn’t guarantee better reasoning—effective context does.

Debasish
Dec 23, 20254 min read


The Evolution of Generative AI: From GPT-2 to GPT-4 and Beyond
Explore the rise of language models from GPT-2 to GPT-4 and their game-changing impact on AI and industry.
devdesure
Apr 4, 20255 min read
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