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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.
Dec 23, 20254 min read


Small but Mighty: How dots.ocr is Revolutionizing Document AI
dots.ocr: A compact 1.7B AI model transforming multilingual document scanning into lightning-fast accuracy.
Aug 19, 20257 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.
Apr 4, 20255 min read


A-MEM: The AI Memory System That Learns and Evolves Like the Human Brain
A-MEM is an adaptive AI memory system that evolves, links, and recalls knowledge like the human brain for smarter AI learning.
Mar 18, 20255 min read
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