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

2025-07-08T11:24:28+00:00

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. Key Use Cases: Evaluating text summarization systems. Assessing machine translation quality. Analyzing content accuracy in generated text. Types of ROUGE Metrics ROUGE-N: Measures the overlap of [...]

What is ROUGE Metrics – Recall-Oriented Understudy for Gisting Evaluation?2025-07-08T11:24:28+00:00

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

2025-07-09T15:12:24+00:00

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 one? Maybe you're a student on a tight budget. Maybe you're tired of hitting rate limits just when your chatbot gets interesting. Or maybe, just maybe, [...]

Creating an AI Chatbot with LangChain for FREE (No API Keys, No Tokens)2025-07-09T15:12:24+00:00

Beginner Guide to Building a Hate Speech Classifier with BERT

2025-07-08T13:54:15+00:00

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 process of building your OWN speech classifier using a well-known transformer model, BERT. This article guides you to a beginner-friendly beginning in modeling and machine learning. [...]

Beginner Guide to Building a Hate Speech Classifier with BERT2025-07-08T13:54:15+00:00

Motoko vs Solidity: A Developer-Centric Comparison

2025-07-04T18:00:43+00:00

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 immutable ledgers. But as blockchain applications grow in complexity, so do the demands placed on smart contract languages. This article offers a developer-focused comparison between Motoko [...]

Motoko vs Solidity: A Developer-Centric Comparison2025-07-04T18:00:43+00:00

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

2025-07-04T15:11:02+00:00

  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? What if you could build your own AI chatbot, even as a beginner? Thanks to modern tools like the Google Gemini API and Next.js, you don’t [...]

“Hello, [User]!”: A Beginner’s Guide to Building an AI Chatbot with Google Gemini API and Next.js2025-07-04T15:11:02+00:00

Launching an Amazon EC2 Instance using Terraform

2025-07-17T00:33:56+00:00

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 projects are like a walk in the park, but if you’re managing an application or a business that caters to thousands to millions of customers [...]

Launching an Amazon EC2 Instance using Terraform2025-07-17T00:33:56+00:00

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

2025-07-03T10:21:29+00:00

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 difference, and why should professionals, creators, and organizations care? This article provides a straightforward overview of these questions, mixing technical details with practical importance. What is [...]

Your First Look into Generative AI: What It Is and Why It Matters2025-07-03T10:21:29+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 Retrieval Augmented Generation (RAG) in Machine Learning?

2025-06-30T03:46:57+00:00

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 or private organizational knowledge without requiring model retraining. It provides a cost-efficient way to improve the relevance, accuracy, and utility of LLM outputs in dynamic or [...]

What is Retrieval Augmented Generation (RAG) in Machine Learning?2025-06-30T03:46:57+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

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