machine learning Archives

High-Performing ≠ Massive: The Rise and Progression of Small Language Models (SLMs)
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High-Performing ≠ Massive: The Rise and Progression of Small Language Models (SLMs)

DearahMaeBarsolasco2025-10-11T06:42:32+00:00

Have you ever needed to find a new charger for your device, only to discover that its voltage wasn’t compatible, causing it not to work or even risking damage? Without checking the actual needs of your device, you’ve probably thought that you could go with what the seller recommends as the “highest-quality” rather than your device’s fitting needs. With the current utilization of AI for businesses, bigger doesn’t always mean better. Large Language Models (LLMs) like GPT, Gemini, Claude, etc. have been in the spotlight for their high-performing power for computational tasks and content generation capabilities. But let’s be honest, [...]

High-Performing ≠ Massive: The Rise and Progression of Small Language Models (SLMs)DearahMaeBarsolasco2025-10-11T06:42:32+00:00

Data Preprocessing Guide for Beginners in ML
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Data Preprocessing Guide for Beginners in ML

Jaime Lucero2025-10-10T07:06:08+00:00

Before machine learning (ML) models can generate predictions or insights, the raw data must first be cleaned, organized, and transformed into a suitable format for the model. This process is known as data preprocessing. It is the foundation of every successful ML project. It ensures that the model learns from high-quality, consistent, and well-structured input rather than noisy, incomplete, or biased information. In this hands-on guide, we’ll walk through how to transform a raw Kindle eBook dataset from Kaggle into machine learning-ready data using Google Colab, a free cloud-based environment that allows you to write and execute Python code directly [...]

Data Preprocessing Guide for Beginners in MLJaime Lucero2025-10-10T07:06:08+00:00

Mastering Cloud-Based Semantic Search: Advanced Cloud Search Architectures Made Easy
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Mastering Cloud-Based Semantic Search: Advanced Cloud Search Architectures Made Easy

Iñaki Manuel M. Flores2025-09-26T10:14:10+00:00

In today's AI-driven world, finding information based on meaning and context rather than exact keywords has become crucial. Good thing we now have vector search, enabling semantic search, personalized recommendations, image similarity, and more. However, building and managing vector search infrastructure can be complex. Fortunately, AWS offers zero-infrastructure managed services that let you implement powerful vector search capabilities without worrying about servers, scaling, or maintenance. Let's walk through creating a simple yet effective vector search demo using AWS services within the Free Tier so you can follow along without incurring costs. What is Vector Search? Vector search is a groundbreaking [...]

Mastering Cloud-Based Semantic Search: Advanced Cloud Search Architectures Made EasyIñaki Manuel M. Flores2025-09-26T10:14:10+00:00

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

Iñaki Manuel M. Flores2025-09-12T09:08:43+00:00

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 AI models rivaling what Fortune 500 companies built just five years ago. That transformation was driven by Amazon Web Services (AWS) through three strategic waves of innovation: Compute Foundation, AI as a Service, and Generative Intelligence. The AWS AI Ripple. While most tech giants built AI for themselves, AWS built the [...]

The AWS AI Ripple: Compute, Services, and Generative IntelligenceIñaki Manuel M. Flores2025-09-12T09:08:43+00:00

What are Clustering Algorithms in Machine Learning?
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What are Clustering Algorithms in Machine Learning?

Ace Kenneth Batacandulo2025-08-25T06:43:36+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?Ace Kenneth Batacandulo2025-08-25T06:43:36+00:00

Beginner Guide to Building a Hate Speech Classifier with BERT
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Beginner Guide to Building a Hate Speech Classifier with BERT

Daniela Joaquin2025-07-08T13:54:15+00:00

You've seen the warnings: "This comment may violate our community guidelines," or you've watched online posts or videos get flagged and removed due to their hate speech content. This means that the platform is already using models to detect harmful content. However, have you ever questioned how these models work? How are these models able to understand human sarcasm, cultural slang, and even multilingual language in one sentence? In this guide, we'll walk through the process of building your OWN speech classifier using a well-known transformer model, BERT. This article guides you to a beginner-friendly beginning in modeling and machine learning. [...]

Beginner Guide to Building a Hate Speech Classifier with BERTDaniela Joaquin2025-07-08T13:54:15+00:00

Google Veo 3: The Latest Breakthrough in AI Video Generation
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Google Veo 3: The Latest Breakthrough in AI Video Generation

Lois Angelo Dar Juan2025-06-26T08:35:57+00:00

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. These examples show how AI moved beyond strict programming and started making smart decisions on its own, thanks to machine learning and deep learning. Over time, [...]

Google Veo 3: The Latest Breakthrough in AI Video GenerationLois Angelo Dar Juan2025-06-26T08:35:57+00:00

AI Learning Simplified: Three Methods That Make Machines Smart
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AI Learning Simplified: Three Methods That Make Machines Smart

Daniela Joaquin2025-06-28T09:37:33+00:00

Let’s be honest, in recent years, you might have heard of Artificial Intelligence (AI) a million times in your day-to-day life—but have you ever stopped to wonder, how does AI learn to do all the things it can? From writing essays to driving cars and even powering robots, AI has gone from a distant dream to a constant companion. In fact, many assumes that AI is created with magic that could automatically build itself from scratch and decide on the go. However, the secret of AI is that it is just really good at learning. No magic is involved, just [...]

AI Learning Simplified: Three Methods That Make Machines SmartDaniela Joaquin2025-06-28T09:37:33+00:00

Understanding F1 Score in Machine Learning
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Understanding F1 Score in Machine Learning

Ace Kenneth Batacandulo2025-06-10T16:22:39+00:00

In machine learning, evaluating the performance of a model is essential to ensure its effectiveness and reliability. Among various metrics used for classification problems, the F1 Score is one of the most important and widely used. This metric helps assess the balance between precision and recall, providing a score reflecting the model's accuracy and ability to identify relevant instances. What is the F1 Score? The F1 Score measures a model's accuracy, the harmonic mean of precision and recall. It considers both false positives and false negatives, making it especially useful when class distribution is imbalanced. The formula for F1 Score [...]

Understanding F1 Score in Machine LearningAce Kenneth Batacandulo2025-06-10T16:22:39+00:00

BLACKBOX AI: A Comprehensive Overview
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BLACKBOX AI: A Comprehensive Overview

Irene Bonso2025-05-29T12:08:01+00:00

In the world of software development and design, AI-powered tools are becoming invaluable assets for boosting productivity and automating workflows. One of the tools, BLACKBOX AI, stands out for its ability to bridge the gap between creativity and code. By using advanced machine learning algorithms, BLACKBOX AI allows users, whether developers, designers, or businesses, to rapidly translate their ideas and designs into functional code with minimal effort. This tool empowers users to automate complex tasks, making the development process more efficient and accessible than ever before. Let's explore what BLACKBOX AI is and how it can revolutionize your approach to [...]

BLACKBOX AI: A Comprehensive OverviewIrene Bonso2025-05-29T12:08:01+00:00