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Debasish
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Generative AI | Consulting & Strategic Planning |AI ML Architect
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Join date: Jan 7, 2026
Posts (10)
Dec 22, 2025 ∙ 4 min
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.
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Dec 22, 2025 ∙ 4 min
The Frankenstein AI: How to Stop Building Monstrously Complex RAG Pipelines and Start Using Science
Is your AI chatbot a sleek machine or a Frankenstein monster? Too many RAG pipelines are built on "vibes," stitching together complex features without proof they actually work. It’s time to replace the guesswork with science. Learn how to forge a "Golden Dataset," deploy LLM-as-a-Judge metrics, and ruthlessly prune your bloated architecture. Stop engineering monsters and start building lean, accurate systems backed by hard data.
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Dec 4, 2025 ∙ 5 min
Beyond Tool Calling: Why AI Agents Should Write Code to Speak with MCP
raditional JSON tool calling is fragile. "Code Mode" changes the game: convert MCP tools to TypeScript APIs and let AI agents write executable code. It’s faster, handles complex logic, and uses secure sandboxes. Get the full code demo here.
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