Large Language Models and Transformer Architecture

A?large language model (LLM)?is a computer program that learns and generates human-like language using a?TRANSFORMER architecture?trained on extensive text data. These models are the basis in machine learning and natural language processing (NLP).

?An LLM is a?deep learning algorithm?capable of performing various NLP tasks. It can recognize, translate, predict, or generate text and other content.?LLMs are trained on massive datasets, which is why they’re called “large” language models.

During training, LLMs learn statistical relationships from text documents. This process require heavy computational capacity and self-learning learning.?

"Architecture: The most capable LLMs, as of March 2024, use a?decoder-only transformer-based architecture. These models, such as?GPT-3.5?and?GPT-4, are artificial neural networks that excel at general-purpose language generation and classification tasks."?

Transformer Architecture

Input >>? Neural Networks >> Self-Attention Mechanism >>? Output

Input Layer: This is where data enters the Transformer. It could be text, images, or any other form of input. (We will learn about Prompt Engineering later)

Neural Networks These layers process the input data. They consist of interconnected nodes. Each node performs a simple calculation and passes the result to the next layer.

?Self-Attention Mechanism: Transformers use a technique called?attention. It helps them understand context and relationships between different elements. For example, In these 2 terms, "eating Banana" and "Banana republic" the word Banana has contextually different meaning.

?Output Layer: The final layer produces the Transformer’s response. For example, if it’s a language model, it might generate the next word in a sentence.

?Training Process: Before the Transformer can make good decisions, it needs training. During training, it adjusts the connections between nodes (like fine-tuning its brain). The more data it sees, the smarter it becomes. Millions of users using Chat GPT are actually fine tuning or training it continuously.

Next Up - AI Architucture and Prompt Engineering