Explore the U-Net architecture used in deep learning for image segmentation. Learn its components, variants, implementation, and real-world applications.

Great Learning Artificial Intelligence

24.05.2025

LSTM in Deep Learning: Architecture & Applications Guide

Discover the powerful LSTM in deep learning! How does LSTM architecture boost AI? Explore its algorithm and exciting real-world applications now!

Great Learning Artificial Intelligence

24.05.2025

OpenAI Codex: How Codex Transforms Ideas into Code

Learn about OpenAI Codex, the AI that writes code from natural language. See how it works, its uses, benefits for developers, and its impact on software.

Great Learning Artificial Intelligence

24.05.2025

5 Common Prompt Engineering Mistakes Beginners Make

Discover the top 5 prompt engineering mistakes beginners make when using AI tools like ChatGPT. Learn how to craft better prompts, improve your results, and avoid common pitfalls in this guide.

Great Learning Artificial Intelligence

24.05.2025

ChatGPT for Business: Real-World Use Cases & Prompt Tips

Discover how businesses use ChatGPT to boost productivity, automate tasks, and solve problems with effective prompt strategies. Real-world examples included.

Great Learning Artificial Intelligence

24.05.2025

Gated Recurrent Units in Deep Learning

This article focuses on Gated Recurrent Units (GRUs), which are a more straightforward yet powerful alternative that has gained traction for its efficiency and performance.

Great Learning Artificial Intelligence

17.05.2025

Steps of Data Preprocessing for Machine Learning

Learn how to clean, transform, and prepare data for machine learning. This guide covers essential steps in data preprocessing, real-world tools, best practices, and common challenges to enhance model performance.

Great Learning Artificial Intelligence

17.05.2025

Bias-Variance Tradeoff in Machine Learning

Explore the bias-variance tradeoff in machine learning. Learn how bias and variance affect model performance, and discover strategies to balance them for better predictions and generalization.

Great Learning Artificial Intelligence

17.05.2025

Automating Business Reports with Generative AI - With Steps

Discover how Generative AI automates business reports from raw data, saving hours of manual work. Learn tools, examples, and benefits of AI-powered reporting.

Great Learning Artificial Intelligence

10.05.2025

F1 Score in Machine Learning: Formula, Precision and Recall

Understand the F1 Score in machine learning! Learn its formula, relationship to precision and recall, and how it differs from accuracy for evaluating model performance.

Great Learning Artificial Intelligence

10.05.2025

Classification Algorithm in Machine Learning - Types & Examples

Explore the types of classification algorithms in machine learning with real-world examples and applications. Learn how models like SVM, random forest, and neural networks power AI solutions.

Great Learning Artificial Intelligence

10.05.2025

What is MCP (Model Context Protocol)?

Learn about the Model Context Protocol (MCP), a system that makes it easier for AI models to connect with real-time data, improving efficiency and security.

Great Learning Artificial Intelligence

03.05.2025

How to Build and Deploy a RAG Pipeline: A Complete Guide

Meta Description:Learn how to build and deploy a Retrieval-Augmented Generation (RAG) pipeline. Explore its architecture, tools, use cases, and deployment strategies for AI systems in 2025.

Great Learning Artificial Intelligence

26.04.2025

What is Transfer Learning and How Does it Work?

Discover what transfer learning is in deep learning. Explore its types, real-world applications, top models like BERT and ResNet, and expert best practices to implement it effectively.

Great Learning Artificial Intelligence

19.04.2025

What is GPT (Generative Pretrained Transformer)?

Discover what GPT is, its evolution, architecture, and applications. Learn about GPT’s strengths, limitations, and its impact on AI-powered solutions.

Great Learning Artificial Intelligence

19.04.2025

What is Fine-Tuning, and How to Fine-Tune LLMs?

Learn what fine-tuning in machine learning is, how it works, and why it’s a powerful, efficient way to adapt pre-trained models to new tasks.

Great Learning Artificial Intelligence

19.04.2025

How to Create Your Own Customizable GPTs?

Learn how to create Custom GPTs without coding. Personalize AI for specific tasks, industries, and workflows with this simple step-by-step guide.

Great Learning Artificial Intelligence

11.04.2025

What Is Retrieval-Augmented Generation and How Does It Work?

Learn what RAG (Retrieval-Augmented Generation) is, how the RAG model works in LLMs, its architecture, benefits, and real-world applications in AI and NLP.

Great Learning Artificial Intelligence

11.04.2025

What is a Prompt Engineer? Skills, Salary, and Career Path

Learn about the role of a prompt engineer, essential skills, career path, and salary expectations in AI-driven industries.

Great Learning Artificial Intelligence

09.04.2025

What is Transformer Architecture and How It Works?

Explore the transformer architecture in AI. Learn about its components, how it works, and its applications in NLP, machine translation, and more.

Great Learning Artificial Intelligence

09.04.2025

ONYX AI: The Deep Research Tool for Exploring Web

Transform your research with ONYX AI. Unify web and internal data for fast, clear insights and smarter decisions.

Great Learning Artificial Intelligence

02.04.2025

Gemini 2.5 Pro: The Best AI for Coding Challenges and Complex Prompts

Google introduces Gemini 2.5 Pro, a powerful AI model with advanced reasoning, coding, and multimodal abilities, setting new standards in AI performance.

Great Learning Artificial Intelligence

02.04.2025

What is Supervised Machine Learning?

Supervised learning is a machine learning technique where an algorithm learns from labeled training data to classify information or predict outcomes. It is widely used in finance, healthcare, and AI applications.

Great Learning Artificial Intelligence

26.03.2025

What is Stemming in NLP?

Stemming in NLP reduces words to their root forms, improving search accuracy, sentiment analysis, and spam detection. Learn how it works and its applications.

Great Learning Artificial Intelligence

26.03.2025

What is Lemmatization in NLP?

Lemmatization in NLP converts words to their base form, improving text processing for search engines, chatbots, and sentiment analysis. Learn its significance and implementation.

Great Learning Artificial Intelligence

26.03.2025

Data Normalization vs. Standardization - Explained

Learn the difference between data normalization and standardization in machine learning. Discover how they improve model performance and ensure better results.

Great Learning Artificial Intelligence

19.03.2025

Enhance LLMs with Retrieval Augmented Generation (RAG)

Discover how Retrieval Augmented Generation (RAG) reduces AI hallucinations by using external data for reliable and context-rich LLM responses.

Great Learning Artificial Intelligence

12.03.2025

What is Manus AI? How to Use and Key Features

Discover Manus AI: a next-generation autonomous agent leveraging advanced reasoning, multi-modal processing, and cloud-based operation. Explore its features, benefits, and how it works.

Great Learning Artificial Intelligence

12.03.2025

What is Visual Geometry Group (VGG)?

Discover VGG—a simple, effective deep learning model in computer vision. Learn its design, benefits, drawbacks, and real-world applications.

Great Learning Artificial Intelligence

05.03.2025

What Are Machine Learning Algorithms? Types and Examples

Explore machine learning algorithms and types with sample code and real-world examples. Learn how models train, predict, and drive AI.

Great Learning Artificial Intelligence

05.03.2025

What is Feature Engineering? Methods, Tools and Best Practices

Learn how Feature engineering transforms raw data into valuable inputs. Discover methods, tools, and best practices that improve model performance.

Great Learning Artificial Intelligence

05.03.2025

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

Learn about Semi-Supervised Learning (SSL) and how it combines labeled and unlabeled data to improve model performance while reducing labeling costs.

Great Learning Artificial Intelligence

26.02.2025

What is LLM? - Large Language Models Explained

Discover what Large Language Models (LLMs) are, how they work, their applications, challenges, and future in AI. Learn about ChatGPT, Gemini, and more!

Great Learning Artificial Intelligence

26.02.2025

Grok 3: Features, Comparison and How to Access

Discover Grok 3 by xAI—boasting 10x more power, advanced reasoning modes, and exclusive features on X to rival ChatGPT and Gemini.

Great Learning Artificial Intelligence

26.02.2025

What is OpenAI's Sora? and How to Use it?

Discover OpenAI's Sora, a groundbreaking AI tool that turns text and images into high-quality videos. Learn how it works, its features, and creative possibilities.

Great Learning Artificial Intelligence

26.02.2025

What is Automated Machine Learning (AutoML)?

Learn what is Automated Machine Learning (AutoML) and how it automates the entire ML process—data prep, model selection, and tuning—empowering industries like SEO.

Great Learning Artificial Intelligence

19.02.2025

Top 10 Open-Source LLMs in 2025 and Their Use Cases

Explore the top 10 open-source LLMs that are pushing boundaries, offering global multilingual capabilities, and powering everything from chatbots to advanced predictive models.

Great Learning Artificial Intelligence

19.02.2025

What Is the BERT Language Model and How Does It Work?

BERT decodes language with bidirectional brilliance. Explore how this Transformer model revolutionizes NLP for richer, context-driven insights.

Great Learning Artificial Intelligence

19.02.2025

How to Deploy and Manage LLMs?

Learn to manage Large Language Models (LLMs) like GPT and BERT, covering deployment, performance monitoring, model updates, fairness, and MLOps for ethical AI.

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Great Learning Artificial Intelligence - Software

Top 15 AI Updates from Google I/O 2025 You Shouldn’t Miss

Understanding U-Net Architecture in Deep Learning

LSTM in Deep Learning: Architecture & Applications Guide

OpenAI Codex: How Codex Transforms Ideas into Code

5 Common Prompt Engineering Mistakes Beginners Make

ChatGPT for Business: Real-World Use Cases & Prompt Tips

Gated Recurrent Units in Deep Learning

Steps of Data Preprocessing for Machine Learning

Bias-Variance Tradeoff in Machine Learning

Automating Business Reports with Generative AI - With Steps

F1 Score in Machine Learning: Formula, Precision and Recall

Classification Algorithm in Machine Learning - Types & Examples

What is MCP (Model Context Protocol)?

How to Build and Deploy a RAG Pipeline: A Complete Guide

What is Transfer Learning and How Does it Work?

What is GPT (Generative Pretrained Transformer)?

What is Fine-Tuning, and How to Fine-Tune LLMs?

How to Create Your Own Customizable GPTs?

What Is Retrieval-Augmented Generation and How Does It Work?

What is a Prompt Engineer? Skills, Salary, and Career Path

What is Transformer Architecture and How It Works?

ONYX AI: The Deep Research Tool for Exploring Web

Gemini 2.5 Pro: The Best AI for Coding Challenges and Complex Prompts

What is Supervised Machine Learning?

What is Stemming in NLP?

What is Lemmatization in NLP?

Data Normalization vs. Standardization - Explained

Enhance LLMs with Retrieval Augmented Generation (RAG)

What is Manus AI? How to Use and Key Features

What is Visual Geometry Group (VGG)?

What Are Machine Learning Algorithms? Types and Examples

What is Feature Engineering? Methods, Tools and Best Practices

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

What is LLM? - Large Language Models Explained

Grok 3: Features, Comparison and How to Access

What is OpenAI's Sora? and How to Use it?

What is Automated Machine Learning (AutoML)?

Top 10 Open-Source LLMs in 2025 and Their Use Cases

What Is the BERT Language Model and How Does It Work?

How to Deploy and Manage LLMs?

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