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What is Multimodal AI?

2025-09-08T17:57:35+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?2025-09-08T17:57:35+00:00

What is Responsible AI?

2025-09-08T15:20:00+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?2025-09-08T15:20:00+00:00

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

2025-09-12T09:08:43+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 Intelligence2025-09-12T09:08:43+00:00

Generative AI Security Scoping Matrix

2025-09-03T02:56:19+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 Matrix2025-09-03T02:56:19+00:00

What is Chain of Thought Prompting?

2025-08-31T16:52:13+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?2025-08-31T16:52:13+00:00

Getting Started with n8n + A Quick Workflow Example

2025-09-04T15:10:12+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 Example2025-09-04T15:10:12+00:00

What is Model Context Protocol (MCP)?

2025-08-28T09:19:36+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)?2025-08-28T09:19:36+00:00

AI and Students: Shortcut to Laziness or Pathway to Career Success?

2025-08-29T02:35:07+00:00

Over the past few years, I’ve personally experienced the rapid rise of artificial intelligence. As a student, I’ve used AI tools to help me with research, brainstorming, and even understanding complex topics. Sometimes, it made my work faster and more efficient, yet other times, I caught myself questioning whether I was relying on it too much. This naturally raises an important question: is AI really helping students prepare for their future careers, or is it making us lazier and less critical in our thinking? Across classrooms and universities, this debate continues to grow louder. On one side, AI can personalize [...]

AI and Students: Shortcut to Laziness or Pathway to Career Success?2025-08-29T02:35:07+00:00

Turning AI Prompts into Real-World Results

2025-08-29T10:51:27+00:00

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, and provide a starting point you can build from. AI doesn’t magically finish your work for you, but it can set you up with a solid foundation that saves time and keeps your momentum going. As an active volunteer in the Philippines’ tech community, I’ve been to numerous events and noticed [...]

Turning AI Prompts into Real-World Results2025-08-29T10:51:27+00:00

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

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

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