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Dearah Barsolasco

Home » Collections for Dearah Mae Barsolasco

About Dearah Mae Barsolasco

Dearah Mae Barsolasco is an AWS Certified Cloud Practitioner and a Tutorials Dojo Intern. She's also a UI/UX Design and Frontend Development enthusiast, currently pursuing her Bachelor of Science in Computer Science at Cavite State University-Main Campus. She is a one-of-a-kind driven by a commitment to share knowledge and empower women in tech.

Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot

2025-12-28T16:02:53+00:00

Picture this: your application works perfectly on your local machine. You deploy it to AWS, then immediately hit an “Access Denied” error. If you’ve worked with AWS for any length of time, you’ve experienced this. What follows is usually a frustrating dive into IAM documentation, trial-and-error permission updates, and lost development momentum. AWS Labs created IAM Policy Autopilot to solve exactly this problem. IAM Policy Autopilot analyzes your application code and generates AWS IAM policies based on the actual SDK calls your code makes. No guessing. No hallucinated permissions. Just deterministic, repeatable policy generation. What Is IAM Policy Autopilot? IAM [...]

Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot2025-12-28T16:02:53+00:00

AWS Vector Databases Explained: Semantic Search and RAG Systems

2025-12-21T03:02:32+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 Systems2025-12-21T03:02:32+00:00

Don’t Struggle with Kaggle: Build your First Data Science Project!

2025-10-24T06:52:50+00:00

Are you a beginner wanting to start your very first data science or machine learning project, but don’t have the right hardware or enough storage capacity? Well, Kaggle is the perfect platform to start your journey!  What is Kaggle? Kaggle is a powerful web-based platform that provides opportunities for data scientists/analysts and machine learning enthusiasts to collaborate with the community, find and publish datasets, and grow their skills through competitions.  Why Kaggle? Just like Google Colab, this platform provides cloud-based notebooks so you can run your code directly without installing Python, Jupyter or other heavy dependencies/libraries. Kaggle also offers GPU [...]

Don’t Struggle with Kaggle: Build your First Data Science Project!2025-10-24T06:52:50+00:00

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

2025-10-17T11:29:21+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)2025-10-17T11:29:21+00:00

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