• The AWS AI Ripple Compute, Services, and Generative Intelligence - Featured Image

    The AWS AI Ripple: Compute, Services, and Generative Intelligence

    In 2006, building AI required a PhD and a million-dollar lab. In 2024, it requires a laptop and a $5 AWS credit. Before, training a neural network was something only elite research labs with specialized hardware could accomplish. Now, anyone with curiosity and an internet connection can spin up [...]

  • Streaming, Stanning, and Syncing: K-pop in the Age of Technology

    Streaming, Stanning, and Syncing: K-pop in the Age of Technology

    K-POP's global takeover often starts subtly: a catchy tune, a visually striking music video, a captivating performance. Before you know it, your online world is transformed, with a single clip snowballing into a comprehensive feed of music, performance videos, and behind-the-scenes content. This shift isn't accidental; it results from [...]

  • No Comment: How Technical Documentation Helps your Team

    It’s easy to get lost specially, in a big project. However, believe it or not, even in small projects or personal passion projects, it’s still easy to get lost because of your own wrongdoing, not documenting properly. As a beginner, or even “experienced,” it’s a hassle having to put [...]

  • Getting Started with n8n + A Quick Workflow Example Cover

    Getting Started with n8n + A Quick Workflow Example

    In a world full of repetitive tasks, automation is not a new thing. For years, humanity designed machines and systems to take over the monotonous or large-scale work from humans. We've come a long way from industrial automation, it now uses the algorithms to create system that can automatically [...]

  • Automated Web Testing at Scale Playwright Meets AWS - Featured Image

    Automated Web Testing at Scale: Playwright Meets AWS

    Picture the time you'll save from your web applications' repetitive and inconsistent manual testing. No more opening the app, logging in, clicking through the same steps, and checking if everything still works. What's worse, manual testing is prone to mistakes. One person could miss a step, another might test [...]

  • Turning AI Prompts into Real-World Results

    Turning AI Prompts into Real-World Results

    It all starts with a simple AI prompt. When you have an idea that you want to explore further, one of the easiest ways to keep the ball rolling is to turn that idea into a prompt for an AI tool. This helps clarify your vision, spark new directions, [...]

  • From Concept to Code Build Your First MCP Server

    From Concept to Code: Build Your First MCP Server

    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 [...]

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

      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 [...]

  • firecracker for students

    Firecracker for Students: Launch Your First MicroVM on Any OS

    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 [...]

  • Meta's Superintelligence Initiative A Bold Leap Into the Future of AI

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

    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, [...]

Your First Look into Generative AI: What It Is and Why It Matters

Your First Look into Generative AI: What It Is and Why It Matters Generative artificial intelligence, or Genb AI, has quickly become a powerful force that is changing many industries. It can write, draw, make music, create videos, and even generate code. These tools easily adjust to different creative and practical tasks, promoting innovation and original ideas across various fields. So, what is Generative AI? How does it work, where is it making a [...]

  • BERTScore Cheat Sheet - Featured Image

What is BERTScore – Bidirectional Encoder Representations from Transformers Score?

BERTScore (Bidirectional Encoder Representations from Transformers Score) Cheat Sheet BERTScore is an effective evaluation metric that looks beyond surface-level word matching to assess the meaning behind the generated text. Instead of counting overlapping words like traditional metrics such as BLEU or ROUGE, BERTScore taps into the power of pre-trained transformer models (like BERT) to compare the semantic similarity between tokens in the generated output and a reference sentence. It does this by calculating the [...]

  • RAG Cheat Sheet

What is Retrieval Augmented Generation (RAG) in Machine Learning?

Retrieval-Augmented Generation (RAG) Cheat Sheet Retrieval-Augmented Generation (RAG) is a method that enhances large language models (LLMs) outputs by incorporating information from external, authoritative knowledge sources. Instead of relying solely on pre-trained data, RAG retrieves relevant content at inference time to ground its responses. LLMs (Large Language Models) are trained on massive datasets and use billions of parameters to perform tasks like: Question answering Language translation Text completion RAG extends LLM capabilities to domain-specific [...]

  • What is Metric for Evaluation of Translation with Explicit ORdering

What is Metric for Evaluation of Translation with Explicit ORdering?

When evaluating machine translations, assessing how closely the translation matches a human's understanding is essential. METEOR (Metric for Evaluation of Translation with Explicit ORdering) is an evaluation metric that provides a more comprehensive and accurate measurement of translation quality. Unlike traditional metrics like BLEU, METEOR considers precision and recall and the semantic meaning of words and their order in a sentence, offering a more nuanced and reliable translation evaluation. In this article, we'll delve [...]

  • How to Transfer Your Domain’s DNS from GoDaddy to Amazon Route 53

Simplifying DNS Management: How to Transfer Your Domain’s DNS from GoDaddy to Amazon Route 53

  If you have ever tried to create a website and wanted it to be accessible through a custom web address, then you have already touched the basics of DNS, or Domain Name System. DNS is what connects your domain name to the actual server where your website lives. It plays a critical role in making sure your site is reachable, fast, and secure for users around the world. Many website owners start by [...]

  • Azure OpenAI

Azure OpenAI

Azure OpenAI Cheat Sheet Azure OpenAI offers access to OpenAI’s powerful models (e.g., GPT-4o, GPT-4 Turbo, GPT-3.5 Turbo, DALL-E, Whisper) with robust security and compliance for enterprises. Hosted on Microsoft Azure, allows for seamless integration with various Azure services and tools. Key Concepts Model Deployment: You must deploy a model (e.g., gpt-4, gpt-35-turbo) to your Azure resource before using it. Quota Types: Dynamic Quota: Shared pool for flexible consumption. Provisioned Throughput Units (PTUs): Dedicated [...]

  • TD-Google Veo 3 Featured Image

Google Veo 3: The Latest Breakthrough in AI Video Generation

Artificial intelligence has come a long way from its early days when it could only do simple tasks like solving math problems, playing basic games, or following step-by-step instructions from programmers. Back then, AI relied on fixed rules and couldn’t learn or improve on its own. As technology advanced, AI became more capable and useful. It learned to recognize voice commands, identify faces, suggest videos based on viewing habits, and learn patterns from data. [...]

  • This is a title image

Why I Chose AWS Lambda to Power My App’s Cloud Logic

For this article, I will demonstrate how I used AWS Lambda as an all-around backend system for a mock-up mobile application I developed for my Design subject in school. The mobile application is an IoT application that integrates communication between a mobile device and a handheld barcode scanner using a Bluetooth module. It also includes security functions, such as code decryption and user statuses. For the dependencies, I used flutter_blue, get, and http. The [...]

  • Area Under the ROC Curve (AUC)

What is Area Under the ROC Curve (AUC) in Machine Learning?

Area Under the ROC Curve (AUC) Cheat Sheet AUC, short for Area Under the Curve of the Receiver Operating Characteristic (ROC), is a metric that evaluates how well a model can differentiate between different classes. A performance metric primarily used for binary classification models. Ranges from 0 to 1: 1: Perfect model. 0.5: Model performs no better than random guessing. 0: Model inversely ranks positives and negatives. Accurate Outcomes True Positive (TP): The model [...]

  • What is Bleu Score

What is BiLingual Evaluation Understudy (BLEU) Score for Machine Translation?

BiLingual Evaluation Understudy (BLEU) Score Cheat Sheet BLEU (BiLingual Evaluation Understudy) is a corpus-level metric designed to automatically evaluate the quality of machine-generated text, most commonly in machine translation (MT). It compares n-gram overlap between the machine’s output and one or more human reference translations. Introduced by Papineni et al. (2002), BLEU became the first automated metric to correlate highly with human judgments in large-scale MT evaluations. It remains a widely used baseline for evaluating [...]

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