> For the complete documentation index, see [llms.txt](https://dsg-iit-roorkee.gitbook.io/dsg-iit-roorkee-bootcamp/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dsg-iit-roorkee.gitbook.io/dsg-iit-roorkee-bootcamp/module-2-word-vectors-simplified/what-is-a-word-vector.md).

# What is a Word Vector?

Before we tackle the intricate aspects of Large Language Models, it's crucial to understand the foundational concept: Word Vectors. Imagine language as a vast, multi-dimensional space where each word has its unique spot. Word vectors convert words into a numerical format, making text comprehensible to LLMs.

In the accompanying video, Anup Surendran lays the groundwork for understanding LLMs by exploring basic questions:

* What exactly are LLMs?
* What are Word Vectors?

{% embed url="<https://youtu.be/xkPzelcmuDk>" %}

Note: As you move through the modules, you'll see that some videos are segmented and shared across various submodules. This strategy is deliberately chosen to align with the textual content and maintain a coherent learning journey. However, the video mentioned above isn't split in this manner. :)