LLM Basics: A Step-by-Step Guide to Large Language Models

Comprehensive guide to Large Language Models (LLMs). The document provides a detailed overview of LLMs, including their history, architecture, key examples, training methods, and applications. The guide also explores ethical considerations, practical implementation strategies, and the potential future of LLMs in various domains. The text covers topics such as fine-tuning for specific tasks, integrating LLMs into applications using APIs, and building real-world projects utilizing LLMs.

Clear and concise

The examples given were spot-on and made the concepts so much easier to grasp especially when describing the role of neural networks.