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Recently, I worked on a project where I leveraged Azure Service Bus Filters to optimize message handling. Below is a detailed summary of what I learned and how these filters can be effectively used. What are Azure Service Bus Filters? Azure Service Bus Topics provide a robust way to publish messages to multiple subscribers, following a pub/sub model. In this model, a topic acts as a queue where messages are sent, and subscriptions to that topic allow selective filtering and processing of messages. Filters and actions are key features that enable precise control over which messages subscribers receive and how they are processed. ...

Embedding models are a cornerstone of modern AI, transforming complex data—like words, sentences, or images—into numerical representations called embeddings. These embeddings are vectors in a multi-dimensional space, enabling machines to understand relationships between pieces of data. Here’s how they’re used across various fields: Applications of Embedding Models Natural Language Processing (NLP): Embeddings encode the meaning of words or sentences, powering tasks like sentiment analysis, machine translation, and question answering. Recommendation Systems: By embedding user preferences and item characteristics, these models enhance recommendations based on similarities. Image Recognition: Image embeddings identify objects or group similar images, making them essential for tasks like facial recognition. Search Engines: Embeddings improve search accuracy by finding data with similar representations. Clustering and Classification: They help identify patterns and group data efficiently, aiding in tasks like customer segmentation. How Embedding Models Work At their core, embedding models convert complex data into a format that computers can process and make decisions on. These models differ in several key aspects: ...

As part of a small AI project, I wanted to dive deeper into Retrieval-Augmented Generation (RAG) to understand its potential. Below is a summary of what I learned and why I chose to use it for my website. What is RAG? RAG stands for Retrieval-Augmented Generation. It’s a method used in AI to enhance the way large language models generate responses by incorporating external information. Here’s how it works in simple terms: ...

How I integrated Retrieval-Augmented Generation (RAG) functionality into my static Hugo site using C# and local LLMs to create a dynamic question-answering system.

I wanted to learn about training a model to see if I can train my own little model for my own needs. The Complete Guide to Training Machine Learning Models Training a machine learning model involves teaching it to make predictions or decisions by learning from data. Here’s a simple explanation of the process: 1. Data Collection and Preparation Gather relevant data from various sources Clean the data by handling missing values and outliers Normalize or standardize features to ensure equal importance Split the data into training, validation, and test sets (typically 70-15-15 or 80-10-10) 2. Feature Engineering Select relevant features that contribute to predictions Create new features from existing ones to improve model performance Reduce dimensionality if necessary to prevent overfitting 3. Choose a Model Select an appropriate algorithm based on your problem and data Linear models (e.g., linear regression, logistic regression) for simpler problems Tree-based models (e.g., random forests, gradient boosting) for complex data with non-linear relationships Neural networks (e.g., transformers or CNNs) for more complex tasks. 4. Train the Model Feed the training data into the model and adjust its parameters to minimize errors. The process typically involves: ...

Setting up your Asus Archer C50 as a travel VPN router with OpenWrt involves several steps. Here’s a general guide to get you started: 1. Install OpenWrt on Your Router Check Compatibility: Ensure your Archer C5 model is supported by OpenWrt. You can verify this on the OpenWrt Table of Hardware. Download Firmware: Visit the OpenWrt website and download the appropriate firmware for your router model. Flash the Firmware: Access your router’s web interface, upload the OpenWrt firmware, and follow the instructions to flash it. Be cautious, as flashing firmware incorrectly can brick your router. 2. Configure OpenWrt Access OpenWrt Interface: After installation, log in to the OpenWrt web interface (usually at 192.168.1.1). Set Up Basic Settings: Change the default password, configure the LAN and WAN interfaces, and enable Wi-Fi. 3. Install VPN Software Choose a VPN Protocol: OpenWrt supports OpenVPN and WireGuard. Decide which one suits your needs. Install Packages: Use the OpenWrt package manager to install the necessary VPN packages (e.g., openvpn-openssl or luci-app-wireguard). Upload VPN Configuration: Obtain the configuration files from your VPN provider and upload them to the router. 4. Configure Travelmate (Optional) Install Travelmate: Travelmate is an OpenWrt package that simplifies managing Wi-Fi connections in travel scenarios. You can find more details here. Set Up Captive Portal Handling: Travelmate can help you connect to hotel Wi-Fi networks and maintain a secure connection. 5. Test Your Setup Connect Devices: Connect your devices to the router’s Wi-Fi network. Verify VPN Connection: Check your IP address to ensure traffic is routed through the VPN. This is a high-level overview. For detailed instructions, you can refer to resources like the OpenWrt Forum or video tutorials such as this one. ...

Here is a Use Case Diagram for our reservation system, which visualizes the interactions between users (actors) and the system’s functionalities (use cases). graph TD %% External Actors Customer[Customer] --> CreateReservation Customer --> CancelReservation Customer --> ViewReservationDetails Customer --> ReceiveNotifications Administrator[Administrator] --> ManageResources Administrator --> GenerateReports Administrator --> ViewCustomerDetails %% System subgraph ReservationSystem [Reservation System] CreateReservation[Create Reservation] CancelReservation[Cancel Reservation] ViewReservationDetails[View Reservation Details] ReceiveNotifications[Receive Notifications] ManageResources[Manage Resources] GenerateReports[Generate Reports] ViewCustomerDetails[View Customer Details] end Explanation of the Diagram Actors: ...

Building a Robust Reservation System with Event-Driven Architecture In this post, I’ll guide you through creating a scalable reservation system using event-driven architecture. We’ll explore domain modeling, event handling, and message processing - essential concepts for modern distributed systems. The Reservation Process Flow Let’s start by visualizing the reservation workflow with a Mermaid diagram: flowchart TD A[Start Reservation Process] --> B[Receive Reservation Request] B --> C{Validate Request} C -->|Valid| D[Check Availability] C -->|Invalid| E[Return Error to Client] D --> F{Availability?} F -->|Available| G[Create Reservation] F -->|Not Available| H[Notify Client of Unavailability] G --> I[Send Confirmation via Wolverine] H --> I I --> J[Store Reservation in Postgres] J --> K[Return Success Response to Client] E --> L[End Process] K --> L This diagram shows the end-to-end process from receiving a request to returning a response, with key decision points and actions along the way. ...

1. Define Your Requirements Before diving into code, clarify the system’s core functionalities. For a reservation system, we might consider: Booking Management: Creating, updating, and canceling reservations. Availability Checking: Ensuring that double-booking or conflicts are prevented. Customer Management: Handling user details, authentication, and notifications. Resource or Venue Management: Tracking the items or spaces being reserved. Concurrency Control: Managing simultaneous booking attempts (e.g., using transactions and locks). Understanding these requirements will help guide your design decisions. ...

Designing an event-based system with Wolverine is an exciting challenge that leverages asynchronous messaging to decouple components and build a resilient architecture. Here’s a comprehensive pathway to help you get started: 1. Understand the Role of Wolverine Wolverine is a lightweight, .NET-native messaging framework designed to help you craft robust, event-driven applications. It facilitates: Message Routing: Seamlessly route events and commands to corresponding handlers. Transport Flexibility: Integrate with in-memory queues or external messaging systems such as RabbitMQ or Azure Service Bus. Resilience and Durability: Apply advanced patterns like retry, scheduling, and outbox support if needed. By using Wolverine, you can focus on business logic while the framework handles much of the messaging infrastructure. ...