Answer: Tokens

## Explanation In Large Language Models (LLMs), when processing text like the word "unbelievable", the model first splits the input into smaller sub-units called **tokens**. ### Key Points: - **Tokens** are the fundamental units of text that LLMs process - Tokenization is the process of breaking down text into these smaller units - For the word "unbelievable", it might be split into tokens like "un", "believe", "able" or similar sub-word units depending on the tokenizer - Characters would be individual letters (u, n, b, e, l, i, e, v, a, b, l, e) - Embeddings are the numerical representations of tokens, not the tokens themselves - Layers refer to the neural network architecture components, not the input units This tokenization process allows LLMs to handle vocabulary efficiently and process text in manageable pieces.

Author: Ritesh Yadav