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Learn to Drive Smart

22 Jul 2026

Practical guidance for safer driving, covering hazard awareness, space management, communication, and sharing the road with other users.
Language Models and Agents

25 Jan 2026

An overview of how Large Language Models (LLMs) are evolving into intelligent agents. The article details fundamental concepts such as prompts, RAG, and tool calling, explains the ReAct reasoning loop, and provides an introduction to building and connecting agents using frameworks like LangChain and standards like the Model Context Protocol...
Raw HTTP Message Logging for .NET HttpClient

18 Dec 2025

1. Introduction Modern .NET applications frequently communicate with external services over HTTP, making observability of these interactions critical for development and debugging. This article explores a lightweight approach to capturing raw HTTP messages in protocol format, providing developers with immediate visibility into their HTTP traffic without external tooling. 1.1. The...
Universal Clock and Local Clock

25 Jul 2025

We live by time. From the moment we wake to the rhythm of our daily schedules, to the precise coordination of global networks, time is the invisible backbone of our existence. It’s so fundamental, in fact, that philosophers like Kant considered it a basic intuition, a lens through which we...
Learning Dapper: A Lightweight ORM for .NET

17 Jul 2025

Dapper is a simple object mapper for .NET, often referred to as a "micro-ORM." It’s known for its high performance and minimal overhead, making it a popular choice for applications that need direct control over SQL queries while still benefiting from object mapping. 1. Setup To get started with Dapper,...
Model validation in ASP.NET Core

15 Jul 2025

Model validation is a crucial aspect of building robust ASP.NET Core applications, ensuring data integrity and providing a smooth user experience. This post explores the various mechanisms for validating data, from built-in attributes and custom validation logic to handling non-nullable reference types and top-level node validation. 1. Model state Model...
Learning Notes: Fundamentals of Data Engineering

31 May 2025

1. What is Data Engineering? Data engineering is the development, implementation, and maintenance of systems and processes that take in raw data and produce high-quality, consistent information that supports downstream use cases, such as analysis and machine learning, while is also the intersection of security, data management, DataOps, data architecture,...
Hands-On Large Language Models

25 Mar 2025

1. Language AI Google Colab offers free, cloud-based GPU and TPU access for accelerated computation, subject to usage limits, and requires changing the runtime type to GPU to enable it. Artificial Intelligence (AI) is the science and engineering of creating intelligent machines, particularly intelligent computer programs, that can perform tasks...
T-SQL Learning Notes

07 Jan 2025

SQL (pronounced /ˌɛsˌkjuˈɛl/ S-Q-L; or alternatively as /ˈsiːkwəl/ "sequel") stands for Structured Query Language, which is both an ANSI and ISO standard language that was designed to query and manage data in relational database management systems (RDBMSs). An RDBMS is a database management system based on the relational model (a...
WPF (.NET) Learning Notes

18 Sep 2024

1. MVVM pattern and toolkit The MVVM pattern [1] helps cleanly separate an application’s business and presentation logic from its user interface (UI). Maintaining a clean separation between application logic and the UI helps address numerous development issues and makes an application easier to test, maintain, and evolve. It can...
Git Bash, Cygwin, and WSL

29 Aug 2024

A practical guide to Git Bash, Cygwin, and WSL on Windows, covering shell configuration, networking, and Git integration.
Dimensions and Embedding Models

19 Jun 2024

This post is generated by Google Gemini 1. Dimensions & Embedding Models In the realm of machine learning, particularly when dealing with complex data like text, two concepts play a crucial role in capturing meaning and enabling efficient information retrieval: dimensionality and embedding models. 1.1. Dimensionality: Mapping the Essence of...
RAG: Boosting LLMs with Contextual Retrieval

18 Jun 2024

RAG (Retrieval-Augmented Generation) is a powerful technique that enhances the capabilities of Large Language Models (LLMs) like GPT-4. While LLMs excel at generating text, they often lack context and struggle to understand the deeper meaning behind user queries. RAG bridges this gap by incorporating information retrieval to provide LLMs with...
Proxies in Docker and containerd

15 Jun 2024

1. Unveiling the Proxy Trio: http_proxy, https_proxy, and no_proxy Ever tried downloading a file online but encountered a restrictive firewall (security barrier) blocking your way? Fear not! This guide unveils the magic behind http_proxy and https_proxy, the environment variables that act as passports for your tools to navigate these gatekeepers....
What is Milvus?

14 Jun 2024

Milvus (/ˈmɪlvəs/) is an open-source vector database to store, index, and manage massive embedding vectors generated by deep neural networks and machine learning (ML) models. [1] Unlike existing relational databases which mainly deal with structured data following a pre-defined pattern, Milvus is designed from the bottom-up to handle embedding vectors...
Ollama, vLLM, Hugging Face, LangChain, LlamaIndex, and Open WebUI

12 Jun 2024

Ollama, vLLM, and llama.cpp are all tools related to running large language models (LLMs) locally on the own computer. 1. Ollama Ollama (/ˈɒlˌlæmə/) is a user-friendly, higher-level interface for running various LLMs, including Llama, Qwen, Jurassic-1 Jumbo, and others. It provides a streamlined workflow for downloading models, configuring settings, and...

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