Welcome to my evolving notebook where I share what I've learned about large language models (LLMs). This series captures my understanding of how LLMs are built and function, as I dive into each topic step by step. Each article represents a part of my journey, documenting key insights and concepts that I’ve explored. Each article in this series explores a specific aspect of LLMs, breaking down complex concepts into simple explanations. Whether you’re new to the field or already familiar, this page shares my personal understanding of the fascinating world of LLMs, step by step.
Large language models and generative AI are transforming industries, creating opportunities in fields like education, finance, and healthcare. However, understanding the foundational principles behind these models is often overlooked. Many learners jump straight into applications or pre-built tools without grasping the "nuts and bolts" of how LLMs work.
This series is my way of sharing my learning process. By treating it as a personal journal, I hope to provide a resource where others can follow along and gain insights into the foundational concepts of LLMs.
Below are the articles currently available in the series. Each button links to a detailed article explaining a specific topic.
As this series grows, I’ll cover topics ranging from basic terminology to the advanced mechanics of LLMs. Together, we’ll explore:
As I continue learning, I’ll update this series with more articles and insights. Feel free to join me on this journey as we explore the fascinating world of LLMs together.