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.
Learn the key components of modern LLMs including tokenization, embeddings, transformers, attention, training, inference, and model parameters.
Learn what LLM model parameters are, how they are trained, and why 7B, 70B, and 405B models differ in capability, memory, and cost.