Types of Large Language Models: A Zero-to-Hero Tutorial for Developers
Large Language Models have revolutionized artificial intelligence, enabling machines to understand and generate human-like text at scale. But not all LLMs are created equal. Understanding the different types, architectures, and approaches to LLM development is essential for developers and AI enthusiasts looking to leverage these powerful tools effectively. This comprehensive guide walks you through the landscape of Large Language Models, from foundational concepts to practical implementation strategies. Table of Contents What Are Large Language Models? Core LLM Architectures LLM Categories and Classifications Major LLM Families and Examples Comparing LLM Types: Strengths and Weaknesses Choosing the Right LLM for Your Use Case Practical Implementation Tips Top 10 Learning Resources What Are Large Language Models? A Large Language Model (LLM) is a deep learning algorithm trained on vast amounts of text data to understand, summarize, translate, predict, and generate human-like content.[3] These models represent one of the most significant breakthroughs in artificial intelligence, enabling applications from chatbots to code generation. ...