Ends in
00
days
00
hrs
00
mins
00
secs
ENROLL NOW

⚡Get Extra 10% OFF our Practice Exams + eBook Bundle for as low as $14.84 ONLY!

Artificial Intelligence

Home » Artificial Intelligence » Page 4

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

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

“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

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

Google Veo 3: The Latest Breakthrough in AI Video Generation

2025-06-26T08:35:57+00:00

Artificial intelligence has come a long way from its early days when it could only do simple tasks like solving math problems, playing basic games, or following step-by-step instructions from programmers. Back then, AI relied on fixed rules and couldn’t learn or improve on its own. As technology advanced, AI became more capable and useful. It learned to recognize voice commands, identify faces, suggest videos based on viewing habits, and learn patterns from data. These examples show how AI moved beyond strict programming and started making smart decisions on its own, thanks to machine learning and deep learning. Over time, [...]

Google Veo 3: The Latest Breakthrough in AI Video Generation2025-06-26T08:35:57+00:00

AI Learning Simplified: Three Methods That Make Machines Smart

2025-06-28T09:37:33+00:00

Let’s be honest, in recent years, you might have heard of Artificial Intelligence (AI) a million times in your day-to-day life—but have you ever stopped to wonder, how does AI learn to do all the things it can? From writing essays to driving cars and even powering robots, AI has gone from a distant dream to a constant companion. In fact, many assumes that AI is created with magic that could automatically build itself from scratch and decide on the go. However, the secret of AI is that it is just really good at learning. No magic is involved, just [...]

AI Learning Simplified: Three Methods That Make Machines Smart2025-06-28T09:37:33+00:00

Understanding F1 Score in Machine Learning

2025-06-10T16:22:39+00:00

In machine learning, evaluating the performance of a model is essential to ensure its effectiveness and reliability. Among various metrics used for classification problems, the F1 Score is one of the most important and widely used. This metric helps assess the balance between precision and recall, providing a score reflecting the model's accuracy and ability to identify relevant instances. What is the F1 Score? The F1 Score measures a model's accuracy, the harmonic mean of precision and recall. It considers both false positives and false negatives, making it especially useful when class distribution is imbalanced. The formula for F1 Score [...]

Understanding F1 Score in Machine Learning2025-06-10T16:22:39+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!