Skip to main content

What is Transformer in Machine Learning?

What is Transformer in Machine Learning?

🤖 What is Transformer in Machine Learning?

By 18slicesofme | March 2025

The Transformer model is a revolutionary deep learning architecture used for natural language processing (NLP) and other AI tasks. Introduced in 2017 by Vaswani et al., Transformers have replaced RNNs and LSTMs in many applications due to their efficiency and ability to process entire sequences at once.

🔍 Key Concepts of Transformers

  • 🧠 Self-Attention Mechanism – Helps the model focus on relevant parts of the input.
  • ⚡ Parallel Processing – Unlike RNNs, Transformers process all words simultaneously.
  • 🔀 Positional Encoding – Adds order to input sequences.
  • 📊 Multi-Head Attention – Improves the model’s ability to capture relationships between words.

🛠️ Transformer Architecture

The Transformer consists of an Encoder-Decoder structure:

Transformer Architecture

The encoder processes the input sequence, while the decoder generates output step by step. The main component of each layer is self-attention and feed-forward networks.

🔄 How Self-Attention Works?

Self-attention is the heart of the Transformer model. It allows the model to pay attention to different words in a sentence when making predictions.

Each word in the input gets transformed into Query (Q), Key (K), and Value (V) vectors. Then, attention scores are computed to determine which words are most important for understanding the current word.

✅ Advantages of Transformers

  • 🚀 Faster than RNNs due to parallel processing.
  • 📝 More accurate in handling long text sequences.
  • 🌐 Widely used in ChatGPT, BERT, and other AI models.
Learn More 🚀

Comments

Post a Comment

Popular posts from this blog

The Whispering Woods

In the small town of Eldergrove, nestled between rolling hills and dense forests, there was a legend that every child grew up hearing. It was said that deep within the Whispering Woods, stories came to life. The townsfolk believed that if you listened closely enough, you could hear the tales of old echoing through the trees, waiting for someone to share them with the world. Lila, a curious sixteen-year-old with a wild imagination, had always been fascinated by this legend. She spent her afternoons wandering the edges of the woods, sketching the trees and dreaming of the adventures that lay within. Her grandmother, a former librarian, often told her stories of brave knights, clever heroines, and magical creatures. Lila cherished these tales, but she longed to experience a story of her own. One sunny afternoon, Lila decided it was time to venture deeper into the Whispering Woods. Armed with her sketchbook and a sense of adventure, she stepped into the dappled sunlight filtering through t...
Post a Comment
Read more

Computer Vision: Fueled by Advancements in Deep Learning with CNNs

Computer Vision and CNNs In recent years, the field of computer vision has witnessed unprecedented growth , thanks to significant advancements in deep learning . At the heart of this progress lies a groundbreaking innovation : Convolutional Neural Networks (CNNs) . These specialized neural networks have revolutionized the way machines perceive and interpret visual data , establishing computer vision as a critical component in countless AI-driven innovations . The Rise of Computer Vision Computer vision is the science of enabling machines to "see" and interpret the visual world. This technology aims to mimic human visual perception , empowering machines to analyze and understand images , videos , and other visual inputs. From detecting objects in a photo to recognizing facial expressions , computer vision plays a pivotal role in bridging the gap between human intelligence and artificial intelligence . For decades,...
Post a Comment
Read more

Blockchain - Explore Decentralized Technologies and the Future of Web3

Blockchain: Explore Decentralized Technologies and the Future of Web3 Blockchain: Explore Decentralized Technologies and the Future of Web3 Blockchain is a distributed ledger technology that securely records transactions across multiple computers in a way that prevents changes or tampering. It is commonly known for its association with cryptocurrencies, but its potential spans far beyond that. Here’s how it works: Decentralization: Unlike traditional centralized systems, blockchain operates in a decentralized manner. This means that no single entity has control over the network; instead, all participants (nodes) share control. Blocks and Chains: Data is stored in "blocks," and each block contains a set of transactions. These blocks are linked together to form a "chain," hence the name "blockchain." Once a block is added, it cannot be altered, making the system highly secure. Consensus Mecha...
Post a Comment
Read more