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From Concept to Code: Build Your First MCP Server

2025-08-27T16:27:09+00:00

For a long time now, LLMs or large language models have been going around the tech industry with its massive knowledge on languages. They can comprehend and even generate human language with bull's-eye fluency. Nevertheless, despite their strengths, powerful as they are, these intelligent models act in isolation. They have no hands to implement and interact with the world; they lack the ability to connect to databases, fetch data, or even trigger an action in a completely different application. Consequently, this lack of ability incapacitates the LLM's high potential when communicating with machines. This is why the introduction of the [...]

From Concept to Code: Build Your First MCP Server2025-08-27T16:27:09+00:00

Hosting Static Websites for Free with GitHub Pages: A Step-by-Step Guide

2025-08-26T09:03:10+00:00

  Hosting Static Websites for Free with GitHub Pages: A Step-by-Step Guide GitHub Pages is, in fact, one of the most accessible and cost-effective ways to host static websites. This tutorial provides a detailed, step-by-step guide on how to host a static website using GitHub Pages, from repository setup to deployment, including custom domain configuration.   What are GitHub Pages? GitHub Pages are  static site hosting services offered by GitHub. It allows users to publish web content directly from a repository: Personal portfolios Project showcases Landing pages Technical documentation Key Features Free of charge with unlimited public repositories Direct integration [...]

Hosting Static Websites for Free with GitHub Pages: A Step-by-Step Guide2025-08-26T09:03:10+00:00

What is Federated Learning?

2025-08-26T16:51:20+00:00

A machine learning technique where multiple devices or servers collaboratively train a shared model without sharing raw data. Instead of sending data to a central server, only the model updates (gradients/parameters) are sent, keeping sensitive information local. Key Concepts Decentralized Training: Data stays on local devices (e.g., smartphones, IoT, edge devices). Model Aggregation: A central server collects and averages model updates to improve the global model. Privacy-Preserving: Minimizes risk of exposing personal or sensitive data. Communication Efficiency: Reduces the need for large-scale raw data transfer. Edge AI Integration: Often paired with edge computing for real-time AI. How Federated Learning Works [...]

What is Federated Learning?2025-08-26T16:51:20+00:00

Understanding Canisters: The Core Smart Contract Model in Motoko

2025-08-26T09:01:07+00:00

  Canister in Motoko: The Core Smart Contract Model on the Internet Computer In the blockchain world, where decentralization and transparency are key, Motoko canister serve as smart contracts that define how applications run on the Internet Computer. Why Canisters Matter The design of  Motoko provides several advantages: Scalability – Canisters can be created and updated with independently.  Security – With strong isolation and identity mechanisms, Motoko offer a secure execution environment. Interoperability – Canisters can call each other using inter-canister messaging. This feature allows complex workflows and data sharing between smart contracts. For more details, see the Internet Computer.   [...]

Understanding Canisters: The Core Smart Contract Model in Motoko2025-08-26T09:01:07+00:00

What are Clustering Algorithms in Machine Learning?

2025-08-25T06:43:36+00:00

Clustering is an unsupervised learning technique that groups similar data points without predefined labels. It helps discover hidden patterns, segment data, and reduce dimensionality in datasets. Key Concepts Clustering: Grouping data points based on similarity or distance metrics. Unsupervised Learning: No labeled data; the model identifies structure independently. Distance Metrics: Commonly used metrics include Euclidean, Manhattan, and Cosine similarity. Popular Clustering Algorithms 1. K-Means Clustering Divides data into K clusters by minimizing the variance within each cluster. Fast, easy to implement, and works well with large datasets. It requires predefining K and is sensitive to outliers. Customer segmentation, image compression. [...]

What are Clustering Algorithms in Machine Learning?2025-08-25T06:43:36+00:00

Agentic AI: Transforming Workflows and Careers in the Autonomous Era

2025-08-29T02:33:55+00:00

In today’s rapidly evolving world, artificial intelligence (AI) is more than just a tool. Agentic AI, in particular, is radically transforming how businesses operate, enabling systems to function with greater autonomy. As a result, these AI systems can handle workflows, make decisions, and learn from experience—all without requiring constant human input. Therefore, businesses can leverage Agentic AI to drive innovation, improve efficiency, and ultimately change how they operate. In this post, we will explore what Agentic AI is, how it works, and why it is crucial for the future of work. What is Agentic AI? This refers to artificial intelligence [...]

Agentic AI: Transforming Workflows and Careers in the Autonomous Era2025-08-29T02:33:55+00:00

Firecracker for Students: Launch Your First MicroVM on Any OS

2025-08-22T11:50:14+00:00

What if you could launch your own virtual machine in less than a second... right from your laptop without Docker, without the cloud, and without frying your CPU? So you’ve heard of virtual machines, but what if I told you there’s one that starts in milliseconds and barely uses resources? Meet Firecracker, the same tech AWS uses to power Lambda and Fargate. But guess what? You don’t need to work at AWS to use it. It’s small, it’s fast, and you can run it right now without a cloud account. In this guide, I’ll show you how to run your [...]

Firecracker for Students: Launch Your First MicroVM on Any OS2025-08-22T11:50:14+00:00

Meta’s Superintelligence Initiative: A Bold Leap Into the Future of AI

2025-08-15T17:39:36+00:00

In the rapidly advancing world of artificial intelligence (AI), few companies are making as bold a move as Meta Platforms. Under Mark Zuckerberg's leadership, Meta has unveiled an ambitious project: Meta Superintelligence Labs (MSL). With billions of dollars invested, and a hiring spree targeting the brightest minds in AI, Meta is setting itself up to lead the AI revolution. But what exactly does this mean for the future of technology? How will this initiative shape AI development? In this blog, we will explore Meta’s game-changing plans, the key players behind the project, and the potential ramifications for AI and beyond. [...]

Meta’s Superintelligence Initiative: A Bold Leap Into the Future of AI2025-08-15T17:39:36+00:00

From Localhost to Live: Your First Google Cloud Deployment

2025-08-21T17:37:18+00:00

  We've all been there. You've just built something new and unique, maybe it's your portfolio website, a cool API, or that side project you've been working on for weeks. It works perfectly on your laptop, your friends are asking to see it, but there's just one problem... it's stuck on localhost:3000.  But, what if you wanted to deploy it on the web and let others see it as well. Well, you have come to the right place! This guide will walk you through deploying any application from GitHub to Google Cloud Platform.  No DevOps experience needed or complex configurations, this [...]

From Localhost to Live: Your First Google Cloud Deployment2025-08-21T17:37:18+00:00

Amazon DataZone

2025-08-15T18:27:14+00:00

Amazon DataZone Cheat Sheet Amazon DataZone is a fully managed data management service by AWS. Facilitates cataloging, discovery, sharing, and data governance across AWS, on-premises, and third-party sources. Enables organizations to implement a data mesh architecture, promoting decentralized data ownership and self-service analytics. Integrates seamlessly with AWS services like Amazon Redshift, Amazon Athena, AWS Glue, and AWS Lake Formation. Features Business Data Catalog: Organizes data assets within the business context, making them easily discoverable. Data Products: Groups related data assets into cohesive units for specific business use cases, simplifying access and management. Automated Metadata Generation: Utilizes large language models (LLMs) [...]

Amazon DataZone2025-08-15T18:27:14+00:00

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