Series: AI Learnings

Artificial Intelligence is now a daily conversation topic and is in everyone’s mind one way or another. The learning can be simple or steep and complex depending on where you want to take it.

Here is a list of blog posts that I have written on this topic as I learn and try to keep up with this amazing technology landscape which is changing every day. Simply amazing.

Quick Links: Resources for Learning AI | Keep up with AI | List of AI Tools | Local AI | AI Agents | Future of Work

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Related Blog Posts on AI

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The Two Worlds of Search: Web Results vs. Vector Databases

To understand how to build a truly effective AI agent, you must first acknowledge the core constraint of the Large Language Model (LLM) itself. “LLMs are ‘frozen’ in time as of their training data (The Training Cut-off).” Think of an LLM as a massive, read-only database. During its “training” phase, it reads a significant portion…
Read More The Two Worlds of Search: Web Results vs. Vector Databases
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Understanding LLM Mixture of Experts (MoE)

When you hear about the latest large language models (LLMs)—like GPT-4, Claude, or Gemini—it’s easy to feel overwhelmed by their sheer scale. These models contain billions, sometimes trillions, of parameters. This incredible size is what gives them their broad capabilities—from writing code and summarizing texts to answering complex questions and creating poetry. But that scale…
Read More Understanding LLM Mixture of Experts (MoE)
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AI Is Changing the Game for SMBs in 2025

Artificial intelligence (AI) is no longer just a buzzword for small and medium businesses (SMBs)—it’s rapidly becoming central to how they operate, compete, and grow. The past two weeks have brought a surge of news and studies highlighting AI’s transformative effects. Here’s what’s most important for SMBs right now. Check out my  Resources for Learning…
Read More AI Is Changing the Game for SMBs in 2025
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MIT Report The GenAI Divide: A Cautionary Tale or a Misleading Snapshot?

The MIT report “The GenAI Divide: State of AI in Business 2025,” published in April, has been making waves ever since. By August, its headline claim—that 95% of generative AI projects fail to deliver measurable returns—was being echoed across headlines, conferences, and boardrooms. It’s a striking message, but one that deserves closer examination, especially given the limitations…
Read More MIT Report The GenAI Divide: A Cautionary Tale or a Misleading Snapshot?
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Use Case: Student Lab for AI Learning

Overview This is the executive summary from the Jorge Pereira’s point-of-view / whitepaper on the Student Lab for AI Learning which outlines the potential strategy to establishment of a Student AI Lab designed as a collaborative learning environment where students and staff explore artificial intelligence technologies spanning foundational principles through advanced applications. The proposed lab…
Read More Use Case: Student Lab for AI Learning