LLM Components Explained: Understanding the Building Blocks of Large Language Models
Learn the key components of modern LLMs including tokenization, embeddings, transformers, attention, training, inference, and model parameters.
2 docs tagged with "Tokenization"
View all tagsLLM Tokens Explained: The Building Blocks of Large Language Models
Learn what tokens are in Large Language Models, how tokenization works, why token counts matter for context windows and pricing, and how modern LLMs process text.