AI Archives

The Faces You See Aren’t Real: How AI Is Quietly Replacing Real Models
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The Faces You See Aren’t Real: How AI Is Quietly Replacing Real Models

Franchesca Asignacion2025-09-12T11:23:40+00:00

Image Generated by ChatGPT AI “She looked perfect… maybe too perfect.” That's what many of us are starting to think when we scroll past new fashion campaigns or pass by dazzling billboards on the street. The faces are flawless, the poses are fierce — yet there’s something slightly unreal about them. And here’s the twist: they might not be real at all. Artificial intelligence is creeping into the heart of the modeling industry — and it’s not creeping quietly. Thanks to powerful tools like Google Veo, brands can now create entire campaigns using models who aren’t human [...]

The Faces You See Aren’t Real: How AI Is Quietly Replacing Real ModelsFranchesca Asignacion2025-09-12T11:23:40+00:00

What is Multimodal AI?
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What is Multimodal AI?

Ace Kenneth Batacandulo2025-09-08T17:57:35+00:00

Multimodal AI refers to systems or models that can process and integrate data from multiple sources or modalities, such as text, images, video, audio, and other sensory data, to produce more accurate and comprehensive outputs. Unlike traditional AI systems that focus on one modality (e.g., text or images), multimodal AI combines different data types to improve understanding and decision-making. How It Works: Multimodal AI systems combine information from various modalities (e.g., visual data + textual data) to process inputs. This can involve: Text: Natural language processing (NLP) to understand meaning. Images/Video: Computer vision techniques to analyze visual data. Audio: Speech [...]

What is Multimodal AI?Ace Kenneth Batacandulo2025-09-08T17:57:35+00:00

What is Responsible AI?
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What is Responsible AI?

Ace Kenneth Batacandulo2025-09-08T15:20:00+00:00

Responsible AI is developing and deploying artificial intelligence (AI) systems that prioritize ethical, transparent, and fair practices while minimizing harm and ensuring accountability. Key Principles: Fairness: Avoid biases and discrimination in AI algorithms. Ensure equitable outcomes for all users. Transparency: Make AI decision-making processes transparent and understandable. Provide access to how AI models work and their limitations. Accountability: Assign responsibility for the outcomes of AI systems. Implement systems for auditing and monitoring AI performance. Privacy and Security: Protect user data privacy and ensure secure AI systems. Adhere to data protection regulations (e.g., GDPR) Inclusivity: Design AI systems that serve diverse [...]

What is Responsible AI?Ace Kenneth Batacandulo2025-09-08T15:20:00+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

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

Cristieneil Ceballos2025-09-03T14:55:40+00:00

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 a well-woven synergy between K-POP's rise to global fame and the technology that fuels it. What was once a niche genre now commands a worldwide audience, with technology serving as the essential backbone for its dissemination and fan interaction. From initial discovery to fostering enduring connections, digital platforms and innovative strategies [...]

Streaming, Stanning, and Syncing: K-pop in the Age of TechnologyCristieneil Ceballos2025-09-03T14:55:40+00:00

Generative AI Security Scoping Matrix
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Generative AI Security Scoping Matrix

Nikee Tomas2025-09-03T02:56:19+00:00

Generative AI Security Scoping Matrix Cheat Sheet The Generative AI Security Scoping Matrix is a framework to classify generative AI (GenAI) use cases by the level of ownership and control over the models and data. It helps organizations assess and prioritize security requirements based on their generative AI deployment approach. The matrix defines 5 scopes from least to most ownership and control: Governance & Compliance Legal & Privacy Risk Management Controls Resilience Scopes of Generative AI Use Cases Buying Generative AI (Low Ownership) Scope 1: Consumer app Uses free or paid public third-party services like ChatGPT and Midjourney. No ownership or [...]

Generative AI Security Scoping MatrixNikee Tomas2025-09-03T02:56:19+00:00

What is Chain of Thought Prompting?
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What is Chain of Thought Prompting?

Ace Kenneth Batacandulo2025-08-31T16:52:13+00:00

A prompting technique in Large Language Models (LLMs) where the model is guided to show intermediate reasoning steps before arriving at the final answer. Inspired by how humans solve problems step by step. Helps LLMs handle complex reasoning tasks such as math, logic, and multi-step decision-making. Key Concepts Step-by-Step Reasoning: Instead of jumping to an answer, the model explains its thought process. Intermediate Steps: Similar to “showing work” in math problems. Better Accuracy: Effective in arithmetic, logical reasoning, and multi-hop questions. Prompt Example: “Let’s think step by step.” Benefits Improves reasoning accuracy. Makes the model’s output more interpretable. Reduces errors [...]

What is Chain of Thought Prompting?Ace Kenneth Batacandulo2025-08-31T16:52:13+00:00

Getting Started with n8n + A Quick Workflow Example
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Getting Started with n8n + A Quick Workflow Example

Daniela Joaquin2025-09-04T15:10:12+00:00

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 check, send, or even sort your emails and documents, manage your store's inventory, and even drive (would I still need a license in this case?). With all the power automation gave us, we still crave more. We thought 'what if automation could learn, adapt, and create?' a thought that is coming into reality [...]

Getting Started with n8n + A Quick Workflow ExampleDaniela Joaquin2025-09-04T15:10:12+00:00

Agentic AI in Applications: Turning Ideas into Autonomous Workflows
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Agentic AI in Applications: Turning Ideas into Autonomous Workflows

Precious Grace Manucom2025-08-29T13:53:44+00:00

AI Agents in Applications: Turning Ideas into Autonomous Workflows Artificial Intelligence has quickly advanced from basic chatbots to sophisticated generative models. But in 2025, a new era is unfolding: AI agents, also known as Agentic AI, that don’t just generate responses but act as autonomous digital teammates—capable of planning, executing, and completing tasks end-to-end. For students, developers, and IT professionals, understanding how Agentic AI works, and where it’s being applied, is key to preparing for the future of technology. What are AI Agents (Agentic AI)? Through its advanced design, Agentic AI is able to: Plan workflows independently. Seamlessly connect with [...]

Agentic AI in Applications: Turning Ideas into Autonomous WorkflowsPrecious Grace Manucom2025-08-29T13:53:44+00:00

What is Model Context Protocol (MCP)?
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What is Model Context Protocol (MCP)?

Ace Kenneth Batacandulo2025-08-28T09:19:36+00:00

An open, model‑agnostic protocol introduced by Anthropic in November 2024, designed to standardize how AI systems (huge language models, LLMs) connect with external data sources and tools via a JSON‑RPC interface. Often likened to a “USB‑C port for AI,” offering a universal interface rather than bespoke integrations per system. Key Benefits of MCP Provides a standardized interface so LLMs can easily connect to multiple tools and data sources without custom adapters. Solves the “N×M” problem, removing the need to build a unique connector for every AI–tool combination. Ensures structured and validated exchanges, supporting better debugging, version control, and reliability in [...]

What is Model Context Protocol (MCP)?Ace Kenneth Batacandulo2025-08-28T09:19:36+00:00