About
📌 Technical Origin of OpenML - A Quantum Physics Problem
The conceptual foundation of OpenML dates all the way back to 2013 when a college boy in Physics major was
reading and implementing the Matrix Numerov Method for Solving Schrödinger Equation
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11 minutes
Codebase RAG for Coding Agent
We are all familiar with RAG system as a customized LLM trained with private data. How about applying a codebase as
the private data as a RAG for coding agent? ADR (Architectural Decision Records) does this for us
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9 minutes
Quantum Natural Language Processing & Quantum Knowledge Graph
In recent years, researchers have begun formalizing the Quantum Knowledge Graph (QKG), which integrates traditional
knowledge graphs with Quantum Natural Language Processing (QNLP).
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6 minutes
AI Agent - ReAct: Reasoning and Acting
The ReAct paradigm bridges the gap between digital reasoning and purposeful action by giving agents a digital form of
inner speech. By generating internal thought traces before executing tasks, AI can plan, observe, and self-correct in
a continuous loop. This approach moves us away from black-box automation and toward building transparent, deliberate
agents that can navigate complex problems with genuine logical integrity.
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6 minutes
Houston, We Have a Problem - OpenJDK is on 26 Now!
Holy... I'm still at 17. My tech portfolio has been obsolete. Let's put up a blog that shares the updates and new
features since JDK 9 forward.
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21 minutes
The Ghost in the Machine: Bridging Isolated Projects with MCP
2026-05-11
AI agents are finding their inner speech. By "talking to themselves" to plan and self-correct before taking an action,
they mirror the way we use internal monologues to navigate complex choices. This shift from reactive automation to
deliberate reasoning marks the evolution of AI from a simple tool into a truly metacognitive collaborator.
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6 minutes
Transformer
I was originally studying LLM on Hugging Face (https://huggingface.co/learn/llm-course) and notice that transformer
occupied significant portion of their learning materials so I decided to look into it deeply
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75 minutes
AI Agent - Inner Speech
2026-05-05
AI agents are finding their inner speech. By "talking to themselves" to plan and self-correct before taking an action,
they mirror the way we use internal monologues to navigate complex choices. This shift from reactive automation to
deliberate reasoning marks the evolution of AI from a simple tool into a truly metacognitive collaborator.
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10 minutes