Understanding Model Architectures in LLM Development

 

Neural Networks: The Building Blocks of LLM Development Architecture

Neural networks are fundamental to machine learning, designed to mimic the way the human brain processes information. 

Several types of neural networks have evolved, each catering to the complexities of data, especially in LLM development.

Feedforward Neural Networks

Feedforward networks represent the simplest form of neural networks, where information flows in one direction—from input to output. 

While effective for basic tasks, they struggle with sequential data like text, rendering them less suitable for LLM architecture.