A 2025 Chroma study reveals that LLMs degrade in accuracy as input size grows, with some models dropping from 95% to 60% performance. The article covers context engineering strategies—structuring information effectively rather than maximizing context—and how token-level processing creates architectural blind spots that make quality of input more important than quantity.
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A Guide to Context Engineering for LLMs
2025 Chroma study shows LLMs degrade from 95% to 60% accuracy with larger inputs, proving that strategic context structuring beats maximizing context window size.
Monday, April 6, 2026 12:00 PM UTC2 MIN READSOURCE: ByteByteGoBY sys://pipeline
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