Sep 16, 2024 · A token in Large Language Models is basically a chunk of text that the model reads and understands. It can be as short as a single letter or as long as a word or even part of a word.

Jul 23, 2025 · In the context of LLMs, a token is a basic unit of text that the model processes. A token can represent various components of language, including: Words: In many cases, a token …

Jun 18, 2025 · A token is a sequence of characters that an LLM treats as a single unit for processing and analysis. The process of breaking a piece of text down into these tokens is called tokenization.

Mar 12, 2025 · Unlike humans who read text as a continuous stream of characters, LLMs break input text into small segments called tokens. A token can be an entire word, part of a word, a single …

Oct 2, 2025 · Tokens are the handles an LLM uses to grasp natural language. By choosing and managing them well—through the right tokenization method, sensible context windows, and retrieval …

Aug 9, 2025 · They break it down into tokens — the atomic units that determine how your prompt is processed, how much it costs, and how good the answer will be. In this article, we’ll explore the …

Sep 11, 2025 · Tokenization in LLM converts text into smaller, manageable units known as tokens. This can be a character, a part of a word, or a whole word, based on the tokenizer.

Apr 20, 2025 · In the context of LLMs, a token can be thought of as a piece or chunk of text—often smaller than a word but sometimes exactly a word. Tokens are how LLMs like GPT-4, Claude, and …

Jun 18, 2025 · Learn what a token in LLM is, how it's used in text processing, and why tokens are crucial for large language model performance.

Oct 8, 2025 · Even if you’re not a machine learning researcher, grasping a few core concepts like tokens, context, and embeddings will make it easier to design, optimise, and integrate LLMs into real …