Satish Choudhary In Simple Terms

December 21, 2025

Breaking Down How AI Actually Thinks: Tokens, Embeddings, Transformers

An accessible explanation of tokens, embeddings, and transformers, showing how modern AI turns language into patterns it can process.

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Episode cover for Breaking Down How AI Actually Thinks: Tokens, Embeddings, Transformers

In Simple Terms

The useful idea from this episode.

An accessible explanation of tokens, embeddings, and transformers, showing how modern AI turns language into patterns it can process.

  • Watch or listen for the concept first, then connect it to the practical decision.
  • Use the notes below as the written companion when you want to revisit the explanation.

About In Simple Terms

Complex technology concepts explained calmly and practically.

In Simple Terms is where I practice explaining the systems people keep asking about: AI, AEM, blockchain, architecture, platforms, and the decisions behind them.

Episode Notes

What this episode covers.

This episode breaks down three building blocks behind modern AI: tokens, embeddings, and transformers.

The goal is not to make the math complicated. It is to show how language gets split, represented as numbers, and connected through context so models can generate useful responses.

It is a practical companion for anyone trying to understand how tools like ChatGPT work beneath the interface.