@datasciencefoundry: What exactly is a token — and why does it matter when you use an LLM? 🧠 Here's how it works: 🔹 Tokenization breaks text into smaller pieces called tokens — which can be words, parts of words, punctuation, or individual characters. 🔹 Each token is assigned a token ID, which the model uses to look up its initial embedding. 🔹 The model then updates these embeddings based on context, allowing the same token to take on different meanings in different sentences. Why do tokens matter to you? ✅ They determine how much text can fit into a model's context window. ✅ They affect how much you pay when using an LLM through an API. The big picture: Text → tokens → token IDs → embeddings → contextual representations. #Tokenization #LLMs #NLP #ArtificialIntelligence #MachineLearning

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Tuesday 06 October 2026 10:55:00 GMT