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Artificial Intelligence (AI)

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The Year of the Agent: Anthropic’s Claude AI Models and Agents

2025-12-26T17:20:34+00:00

  Looking back on the past year of 2025 coding with the help of artificial intelligence, we can safely say that it was the year of agents, especially pioneered by Anthropic with Claude Code. AI products have matured to offer highly reliable agents that can understand, navigate, and work seamlessly on large codebases. It is the end of the old ways: of manually copying and pasting code into web AI applications. Agents are now actually part of the codebase, navigating around like a real developer. And they can now be left with long-running tasks on their own,opening and working on [...]

The Year of the Agent: Anthropic’s Claude AI Models and Agents2025-12-26T17:20:34+00:00

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

2025-12-21T16:15:25+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 Developers2025-12-21T16:15:25+00:00

Can Gemini 3 Replace My AI Toolkit?

2025-12-04T00:51:06+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?2025-12-04T00:51:06+00:00

Chips & Brains: The Psychology of Human-AI Decision Making

2025-10-07T07:45:30+00:00

Your smartphone just recommended the perfect restaurant, your GPS avoided traffic seamlessly, and your bank approved a loan in seconds—all without human intervention. The speed at which AI operates is awe-inspiring. Yet when the same AI suggests a medical treatment or hiring decision, we suddenly hesitate. This contradiction reveals something fascinating: our relationship with artificial intelligence isn't just about technology; it is deeply psychological. Today's workplace is undergoing a silent revolution in which human intuition and algorithms clash, operate together, and occasionally fail catastrophically. AI technologist Kylan Gibbs and social psychologist Brian Lowery agreed in a recent TED talk that [...]

Chips & Brains: The Psychology of Human-AI Decision Making2025-10-07T07:45:30+00:00

Code at the Speed of Thought: The Agentic IDE Revolution

2025-07-26T09:04:27+00:00

We have all experienced the struggle of debugging code that just won't work. It's already 2 AM in the morning and you're pulling out all the stops, searching Stack Overflow for answers, copying and pasting code and hoping for that miracle that it will work. (It feels too real that it hurts to read)  Now imagine instead, you simply tell your computer "Hi, this function isn't working the way I want it to. Can you figure it out and fix it?" After a few seconds, ting! It actually does it, edits the codebase that you have and furthermore explains what [...]

Code at the Speed of Thought: The Agentic IDE Revolution2025-07-26T09:04:27+00:00

Large Reasoning Models (LRMs): The AI That Actually Shows Its Work

2025-07-08T12:38:54+00:00

Imagine you are in a Math Class, and the teacher just gave a complex problem for everyone to solve. Then, after a few minutes, a classmate just shouted an answer. You’re all shocked because how did he come up with it? Was it the correct answer or they just made a guess? When the teacher asked them to elaborate they refused and said that they already did their work.  This scenario displays the frustrations with traditional AI systems: fast answers with zero transparency.  Now imagine that same classmate going up to the board, writing all of the formulas and calculations, [...]

Large Reasoning Models (LRMs): The AI That Actually Shows Its Work2025-07-08T12:38:54+00:00

Synthetic Media Overload: AI-Generated Content vs. Reality

2025-07-08T11:59:47+00:00

You’re scrolling. One second it’s a heartfelt story, the next it’s a video of someone saying something that feels… off. Except… they didn’t. Note: This photo is generated thru Sora Welcome to the era of synthetic media where online content is changing fast. From AI-written news articles to deepfake videos that look and sound real, it’s becoming harder to spot. Let’s talk about the flood of synthetic media, the blur between authentic and AI, and why this matters now more than ever. Not to be scared, but to understand and to open a conversation. If the internet becomes [...]

Synthetic Media Overload: AI-Generated Content vs. Reality2025-07-08T11:59:47+00:00

What is BERTScore – Bidirectional Encoder Representations from Transformers Score?

2025-07-03T06:03:55+00:00

BERTScore (Bidirectional Encoder Representations from Transformers Score) Cheat Sheet BERTScore is an effective evaluation metric that looks beyond surface-level word matching to assess the meaning behind the generated text. Instead of counting overlapping words like traditional metrics such as BLEU or ROUGE, BERTScore taps into the power of pre-trained transformer models (like BERT) to compare the semantic similarity between tokens in the generated output and a reference sentence. It does this by calculating the cosine similarity between their contextual embeddings. Initially proposed by Zhang et al. (2020), BERTScore has quickly become a popular choice in natural language processing tasks where [...]

What is BERTScore – Bidirectional Encoder Representations from Transformers Score?2025-07-03T06:03:55+00:00

What is Metric for Evaluation of Translation with Explicit ORdering?

2025-06-29T17:01:03+00:00

When evaluating machine translations, assessing how closely the translation matches a human's understanding is essential. METEOR (Metric for Evaluation of Translation with Explicit ORdering) is an evaluation metric that provides a more comprehensive and accurate measurement of translation quality. Unlike traditional metrics like BLEU, METEOR considers precision and recall and the semantic meaning of words and their order in a sentence, offering a more nuanced and reliable translation evaluation. In this article, we'll delve deeper into METEOR, how it works, and why it's used to evaluate machine translation quality. Additionally, we'll provide an easy-to-understand cheat sheet that summarizes its features. [...]

What is Metric for Evaluation of Translation with Explicit ORdering?2025-06-29T17:01:03+00:00

Build an AI Opponent for Discord Activities – Intro

2025-05-26T06:50:08+00:00

Have you ever wondered how NPCs and bots in games make decisions? How do they seem to "think" or play strategically—even when there's no human behind the scenes? In this blog series, we’ll take a deep dive into creating your own AI-powered opponent for a turn-based board game—specifically designed to run inside Discord Activities. Our goal is to create an opponent for turn-based board games that makes strategic decisions, learns from its experiences, and offers a compelling challenge for players on Discord. In this blog series, we'll learn how to: Design an AI opponent tailored for turn-based games Integrate your [...]

Build an AI Opponent for Discord Activities – Intro2025-05-26T06:50:08+00:00

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