Series 1: What Are LLMs?
This series provides a comprehensive introduction to Large Language Models, covering their fundamental concepts, current capabilities, and historical development.
Articles in This Series
- Article 1: The "What" and "Why" of LLMs in 2025
- Article 2: Understanding the Current Model Landscape
- Article 3: A Brief History of Language Models: From GPT-1 to Multimodal AGI
- Article 4: Understanding Tokens, Vocabularies, and Context Windows
- Article 5: The Transformer Architecture: A Deep Dive
Series Overview
This series establishes the foundational knowledge needed to understand Large Language Models and their impact on the world. We'll explore what LLMs are, examine the current model landscape, and trace their evolution from early experiments to today's sophisticated multimodal AI systems.
Learning Objectives
By the end of this series, you will:
- Understand what Large Language Models are and why they matter in 2025
- Know the current landscape of available models and their capabilities
- Understand the historical development of language models
- Grasp fundamental concepts like tokens, vocabularies, and context windows
- Have a basic understanding of the transformer architecture
Prerequisites
- Basic understanding of computer science concepts
- Familiarity with machine learning terminology (helpful but not required)
- No prior knowledge of LLMs or AI required