• Humanoid robot working alongside industrial machines in a smart factory, with visual overlays representing AI decision-making and sensor data

    Physical AI in 2026: Why Mechatronics Matters

    Many learners and engineers who focus on cloud and AI still think of intelligence as something that exists only in data centers or large language models. In 2026, a major shift is happening. AI is stepping out of the digital world and into the physical one. This is called [...]

  • A Beginner’s Guide to Small Language Models (SLMs)

    What are Small Language Model (SLM)? We often hear about Large Language Models, but did you know that there’s a “smaller” version of it? In this article, we will talk about what a Small Language model is, their strengths and weaknesses, and its practical use cases. So, what really [...]

  • The Reality of Learning Tech: Mental Health, Pressure, and Growth

    Learning technology is often described as exciting. It offers new skills, new opportunities, and a clear path forward. However, mental health in tech is often overlooked. But for many people, that journey does not always feel that way. Over the past year, while trying to grow in tech, I [...]

  • Amazon Quick Sight Sheet Tooltips - Enhancing Data Storytelling and Dashboard UX

    Amazon Quick Sight Sheet Tooltips: Enhancing Data Storytelling and Dashboard UX

    Modern organizations use data visualization tools for critical decisions. Dashboards simplify complex datasets, turning millions of rows of raw data into digestible formats. Still, users often view a dashboard and feel they aren't seeing the whole picture. Dashboards often lack immediate context, resulting in a frustrating user experience. Analysts [...]

  • A dark blue promotional slide featuring a cute cartoon fish mascot on the left and bold text on the right reading “Finsharc, a newcomer reshaping how we think about personal finance,” with a Tutorials Dojo logo in the bottom-right corner.

    Finsharc, a Newcomer Reshaping How We Think About Personal Finance

    Finsharc is a personal finance application that is entering a very saturated place. As there are personal finance apps such as Money Manager that already solve the basics of expense tracking at a personal level, (things you buy day-to-day, such as lattes or groceries) budgeting for the future, and [...]

  • Google Lyria 3: Free AI Music in Gemini

    Google quietly rolled out Lyria 3 inside Gemini, and it lets anyone generate 30-second music tracks from a text prompt, complete with vocals, lyrics, and instrumentals. It's free, it's surprisingly good, and most people don't even know it's there. I spent an afternoon messing around with it. Here's how [...]

  • AWS Data and AI Journey: Data Governance and Security

    Stage 3 of the AWS Data and AI Journey: Data Governance and Security As organizations establish a modern data foundation (Stage 1) and enable seamless data movement (Stage 2), the next critical step is ensuring that data remains trusted, secure, and compliant across the entire ecosystem. At this stage, [...]

  • Banner image with bold text about “Claude Mythos” questioning whether it is an AI breakthrough or an overhyped cybersecurity threat; an angry gray octopus character holds a Linux penguin and a FFmpeg logo against a muted gradient background, with Tutorials Dojo branding in the corner.

    Claude Mythos Explained, is it an AI Breakthrough or Overhyped Cybersecurity Threat?

    The announcement of Claude Mythos stirred the community towards the advancement of large language models and their application within the domain of cybersecurity. For more than two decades, the investigation and discovery of zero-day vulnerabilities have rested upon cybersecurity teams and researchers. However, the announcement of Claude Mythos, by [...]

  • Visual showing difference between AI prompts and AI workflows

    AI Workflows vs AI Prompts: What’s the Real Difference

    At first, using AI feels simple. You type a prompt, get a response, and move on. That’s how most people start, and for basic tasks, it works. But as you try to do more complex or repeatable work, you begin to notice something: prompts alone aren’t enough. This is where [...]

  • AI agents on Azure helping a beginner automate cloud tasks

    AI Agents on Azure: Practical Insights for Learners

    Many people learning Azure still struggle with repetitive manual tasks. AI Agents on Azure for learners offer a practical way to handle these challenges. When a 2 AM alert fires, the usual process involves manually checking the cause, reviewing affected processes, and examining the whole system. AI agents can [...]

  • Synthetic Media Overload: AI-Generated Content vs. Reality

Synthetic Media Overload: AI-Generated Content vs. Reality

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 [...]

  • What is ROUGE Metrics - Recall-Oriented Understudy for Gisting Evaluation

What is ROUGE Metrics – Recall-Oriented Understudy for Gisting Evaluation?

Recall-Oriented Understudy for Gisting Evaluation (ROUGE) Cheat Sheet ROUGE is a family of metrics designed to assess the similarity between machine-generated text (candidate) and human-written reference text (ground truth) in NLP tasks like text summarization and machine translation. Measures how well generated text captures key information and structure from reference text, emphasizing recall (proportion of relevant information preserved). Score Range: 0 to 1, where higher scores indicate greater similarity between candidate and reference texts. [...]

Creating an AI Chatbot with LangChain for FREE (No API Keys, No Tokens)

Creating an AI Chatbot with LangChain for FREE (No API Keys, No Tokens) The Big Question: Can You Build AI Without Breaking the Bank? We asked ourselves a simple question: Can you build a chatbot without using any paid API at all? Most tutorials on AI chatbots start the same way: "First, grab your OpenAI API key and add your credit card..." But what if you don't have one? Or don't want to use [...]

  • Beginner Guide to Building a Hate Speech Classifier with BERT

Beginner Guide to Building a Hate Speech Classifier with BERT

You've seen the warnings: "This comment may violate our community guidelines," or you've watched online posts or videos get flagged and removed due to their hate speech content. This means that the platform is already using models to detect harmful content. However, have you ever questioned how these models work? How are these models able to understand human sarcasm, cultural slang, and even multilingual language in one sentence? In this guide, we'll walk through the [...]

Motoko vs Solidity: A Developer-Centric Comparison

Motoko vs Solidity: A Developer-Centric Comparison A New Era in Smart Contract Development Innovative contract development has evolved significantly over the past decade. With the rise of decentralized finance (DeFi), non-fungible tokens (NFTs), and a growing ecosystem of decentralized applications, Solidity has long been the standard for writing contracts on the Ethereum Virtual Machine (EVM). It introduced developers to a new paradigm: trustless systems, which do not require trust between parties, programmable money, and [...]

  • A Beginner's Guide to Building an AI Chatbot with Google Gemini API and Next.js Header & Featured Image

“Hello, [User]!”: A Beginner’s Guide to Building an AI Chatbot with Google Gemini API and Next.js

  These days, it feels like there’s an AI chatbot for everything. Need help with homework? Stuck on a coding problem? Want to research a random topic? These virtual assistants can answer just about any general question you throw at them. They’re becoming our go-to partners for learning, creating, and problem-solving. But have you ever wanted a chatbot that doesn't just give generic answers but understands and responds with information specific to your needs? [...]

  • Launching an EC2 Instance Using Terraform

Launching an Amazon EC2 Instance using Terraform

What's up, Dojos! This is your first step on automating your cloud infrastructure by launching an EC2 Instance using Terraform!  Efforts from various cloud providers such as AWS made managing your configurations manageable and easy by the use of their Management Consoles. With AWS, launching an EC2 instance, setting up IAM configurations, and VPC provisioning have never been easier within their console. But what if you have to configure large amounts of resources? Provisioning [...]

Your First Look into Generative AI: What It Is and Why It Matters

Your First Look into Generative AI: What It Is and Why It Matters Generative artificial intelligence, or Genb AI, has quickly become a powerful force that is changing many industries. It can write, draw, make music, create videos, and even generate code. These tools easily adjust to different creative and practical tasks, promoting innovation and original ideas across various fields. So, what is Generative AI? How does it work, where is it making a [...]

  • BERTScore Cheat Sheet - Featured Image

What is BERTScore – Bidirectional Encoder Representations from Transformers Score?

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 [...]

  • RAG Cheat Sheet

What is Retrieval Augmented Generation (RAG) in Machine Learning?

Retrieval-Augmented Generation (RAG) Cheat Sheet Retrieval-Augmented Generation (RAG) is a method that enhances large language models (LLMs) outputs by incorporating information from external, authoritative knowledge sources. Instead of relying solely on pre-trained data, RAG retrieves relevant content at inference time to ground its responses. LLMs (Large Language Models) are trained on massive datasets and use billions of parameters to perform tasks like: Question answering Language translation Text completion RAG extends LLM capabilities to domain-specific [...]

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