Generative AI Archives

The AI Risks Hiding in Plain Sight: OWASP’s Top 10 for LLMs
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The AI Risks Hiding in Plain Sight: OWASP’s Top 10 for LLMs

Ian Vergara2026-01-27T18:52:57+00:00

Large language models (LLMs) are transforming tech, but they also bring new security headaches. The OWASP Top 10 for LLMs highlights the biggest AI risks we should know about. In this guide, we explain each risk in simple terms, give everyday examples, and share quick safety tips. Whether you’re a developer or a casual tech user, this walkthrough will help you understand and avoid the most common AI pitfalls. Prompt Injection What it is: Prompt Injection happens when someone sneaks special instructions into an AI’s input so the model does something unintended. In other words, a user’s query tricks the AI [...]

The AI Risks Hiding in Plain Sight: OWASP’s Top 10 for LLMsIan Vergara2026-01-27T18:52:57+00:00

The Death of Traditional SEO? Welcome to the Era of Generative Engine Optimization (GEO)
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The Death of Traditional SEO? Welcome to the Era of Generative Engine Optimization (GEO)

Dearah Mae Barsolasco2026-01-23T16:49:14+00:00

For years, Search Engine Optimization (SEO) defined how digital content succeeded online. Keywords, backlinks, and domain authority shaped rankings and traffic. But as we move deeper into 2026, the search landscape has fundamentally changed. With the rise of Large Language Models (LLMs), AI-powered search experiences, and zero-click results, traditional SEO alone is no longer enough. Today, success is less about ranking for clicks and more about being cited as a trusted source. This shift marks the arrival of Generative Engine Optimization (GEO) which is a strategy focused on visibility, authority, and AI-driven discovery. What Is Generative Engine Optimization (GEO)? Generative [...]

The Death of Traditional SEO? Welcome to the Era of Generative Engine Optimization (GEO)Dearah Mae Barsolasco2026-01-23T16:49:14+00:00

Building a Cost-Aware RAG Application with Amazon Bedrock
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Building a Cost-Aware RAG Application with Amazon Bedrock

Kayne Uriel Rodrigo2026-01-06T08:43:56+00:00

What if your Client can have a Chatbot that throws a highly accurate responses based on your documents? Without having a guilt of the monthly expenses. Without even subscribing to any costly, AI-support subscriptions. Only pay per inquiry requests to your model provider, and of course only costs you cents, and it lessens when your client is already satisfied with the answer, as it returns a fully verified response based from the documents you have in your database? Consider this as well, it is cost-aware, making sure that it will notify you once it exceeds your budget limits for you [...]

Building a Cost-Aware RAG Application with Amazon BedrockKayne Uriel Rodrigo2026-01-06T08:43:56+00:00

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers
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Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers

Ostline Casao2025-12-21T16:15:25+00:00

Amazon Q is often introduced as AWS's generative AI assistant, but that description doesn't really explain why it exists or how it behaves once you start using it. If you treat Amazon Q like a general chatbot, it can feel restrictive or underwhelming. If you treat it as an AWS-native system designed around identity, permissions, and retrieval, it becomes much easier to understand. And much more useful. I've spent a lot of time working with Amazon Q while creating video content for Tutorials Dojo courses, and most of what I'll share here comes from that hands-on experience. My goal is [...]

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and DevelopersOstline Casao2025-12-21T16:15:25+00:00

Can Gemini 3 Replace My AI Toolkit?
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Can Gemini 3 Replace My AI Toolkit?

Ostline Casao2025-12-04T00:51:06+00:00

I've always approached AI with one mindset: use whatever tool gets the job done fastest and cleanest. I'm not loyal to one model, one company, or one ecosystem. I switch between tools depending on what my day looks like. In school, that might mean summarizing academic papers. At work or during self-study, that might mean debugging code or reviewing a cloud diagram. For daily life, it might just mean drafting an email or organizing my notes. So when Gemini 3 came out, I didn't ask whether it was "better" in the vague, marketing sense. My question was simpler: Could it [...]

Can Gemini 3 Replace My AI Toolkit?Ostline Casao2025-12-04T00:51:06+00:00

AWS Vector Databases Explained: Semantic Search and RAG Systems
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AWS Vector Databases Explained: Semantic Search and RAG Systems

Dearah Mae Barsolasco2025-12-21T03:02:32+00:00

The generative AI (GenAI) revolution has transformed how organizations extract value from their data. While large language models (LLMs) demonstrate remarkable capabilities in understanding and generating human-like text, their true enterprise potential is unlocked only when they can access proprietary, domain-specific information. This necessity has propelled vector databases from a specialized niche into an essential pillar of modern AI infrastructure. But First, What Are Vector Databases? A vector database, as its name suggests, is a type of database designed to store, index, and efficiently search vector embeddings. These vectors are high-dimensional points that represent meaning. At its core, a vector [...]

AWS Vector Databases Explained: Semantic Search and RAG SystemsDearah Mae Barsolasco2025-12-21T03:02:32+00:00

AWS Strands Agent SOPs – Your Natural Language Agentic AI Workflow Tool
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AWS Strands Agent SOPs – Your Natural Language Agentic AI Workflow Tool

Waffen Sultan2025-12-03T13:19:35+00:00

If you're someone whose work involves AI automation or a developer, you'll know that Modern AI agents are powerful but notoriously difficult to guide with consistency. You put the same thing in twice, you get two drastically different results. There are two ways of driving Modern AI agents: Code defined workflows Fully model-driven agents Code-defined workflows offer precision but require heavy reengineering to update. Fully model-driven agents offer flexibility but can behave unpredictably. Agent SOPs (Standard Operating Procedures) provide a middle ground: natural language workflows with structure, constraints, and parameters that help you predict how an AI will perform complex [...]

AWS Strands Agent SOPs – Your Natural Language Agentic AI Workflow ToolWaffen Sultan2025-12-03T13:19:35+00:00

A New Player in Town: Google Antigravity
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A New Player in Town: Google Antigravity

Waffen Sultan2025-11-25T09:30:32+00:00

On Wednesday, Google, the creators of Gemini, one of the top competitors of popular LLMs like ChatGPT (developed by OpenAI), recently launched their first AI agentic development IDE, known as Google Antigravity. Built for a wide range of customers, it is targeted to both professional developers working on large enterprise codebases and hobbyists vibe coding in their spare time. It provides installation support for Windows, MacOS, and Linux. In the rising wave of AI-powered IDEs, it provides a completely new and unique set of features over the usual and typical features that you would see in one, namely: Browser use Agents [...]

A New Player in Town: Google AntigravityWaffen Sultan2025-11-25T09:30:32+00:00

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)

Dearah Mae Barsolasco2025-10-17T11:29:21+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 [...]

High-Performing ≠ Massive: The Rise and Progression of Small Language Models (SLMs)Dearah Mae Barsolasco2025-10-17T11:29:21+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