Great Learning AI

What is Retrieval-Augmented Generation (RAG)?

RAG, or Retrieval-Augmented Generation, is an AI framework that combines retriev...

How to Become a Prompt Engineer? Skills and Salaries in...

A Prompt Engineer acts as a translator between humans and AI, crafting precise i...

What is Transformer Architecture and How It Works?

The transformer architecture has revolutionized AI, particularly in NLP. It uses...

ONYX AI: The Deep Research Tool for Exploring Web

ONYX AI streamlines your research by merging web and internal data. It delivers ...

What is Supervised Machine Learning?

Supervised learning is a machine learning approach where models train on labeled...

Gemini 2.5 Pro: The Best AI for Coding Challenges and C...

Google's Gemini 2.5 Pro is a groundbreaking AI model with advanced reasoning, co...

What is Lemmatization in NLP?

Lemmatization in NLP refines text processing by reducing words to their dictiona...

Data Normalization vs. Standardization – Explained 

Learn about normalization and standardization techniques to scale your data corr...

What is Stemming in NLP?

Stemming in NLP simplifies words to their root forms, boosting the efficiency of...

Enhance LLMs with Retrieval Augmented Generation (RAG)

Learn how RAG curbs AI hallucinations by retrieving real-time data for context. ...

Manus AI, Know the Use of General AI Agent, Capabilitie...

Manus AI, which combines advanced reasoning, multi-modal processing, and cloud-b...

What is Visual Geometry Group (VGG)?

Learn about VGG, a foundational deep learning model in computer vision. This art...

What is Visual Geometry Group (VGG)? 

Learn about VGG, a foundational deep learning model in computer vision. This art...

What is Manus AI? How to Use and Key Features

Manus AI, which combines advanced reasoning, multi-modal processing, and cloud-b...

What is semi-supervised learning? How does it work?

Semi-Supervised Learning is a machine learning approach that uses a small amount...

What Are Machine Learning Algorithms? Types and Examples

This article focuses on ML algorithms and their types, offering a comprehensive ...

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