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title: The Building Blocks of LLMs: Vectors, Tokens, and Embeddings
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# The Building Blocks of LLMs: Vectors, Tokens, and Embeddings

**[Python in Plain English](https://daily.dev/sources/inPlainEngHQ)** · 9 min read · 4 upvotes · 0 comments

## Summary

Explore the building blocks of LLMs, including vectors, tokens, and embeddings. Learn how vectors represent language mathematically, how tokens break down language into meaningful units, and how embeddings capture semantic relationships. Discover the applications and challenges of these building blocks and the advancements in NLP.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://python.plainenglish.io/the-building-blocks-of-llms-vectors-tokens-and-embeddings-9446f3e147af>

---

Tags: [#embeddings](https://daily.dev/tags/embeddings), [#llm](https://daily.dev/tags/llm), [#nlp](https://daily.dev/tags/nlp)

[View this post on daily.dev](https://daily.dev/posts/the-building-blocks-of-llms-vectors-tokens-and-embeddings-5bwf9mghw)

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