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A comprehensive guide to understanding Large Language Models architecture, training methodologies, and deployment strategies
Introduction
Large Language Models (LLMs) have revolutionized artificial intelligence, powering applications from chatbots to code generation. Building an LLM from scratch is a complex endeavor that requires understanding multiple components, training methodologies, and architectural decisions. This guide explores the seven essential types of LLMs, their functioning mechanisms, and why each approach matters in modern AI development.
Understanding LLM Fundamentals
What are Large Language Models?
Large Language Models are neural networks t…
11 min readJust now
–
Press enter or click to view image in full size
Image generated by Author using AI
A comprehensive guide to understanding Large Language Models architecture, training methodologies, and deployment strategies
Introduction
Large Language Models (LLMs) have revolutionized artificial intelligence, powering applications from chatbots to code generation. Building an LLM from scratch is a complex endeavor that requires understanding multiple components, training methodologies, and architectural decisions. This guide explores the seven essential types of LLMs, their functioning mechanisms, and why each approach matters in modern AI development.
Understanding LLM Fundamentals
What are Large Language Models?
Large Language Models are neural networks trained on vast amounts of text data to understand and generate human-like language. These models use the Transformer architecture, which leverages attention mechanisms to process and generate text by predicting the next token in a sequence.
Why Build LLMs from Scratch?
Customization: Tailored models for specific domains, languages, or use cases