10 minutes are all you need to understand how Transformers work in LLM
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Understanding how transformers work in large language models (LLMs) can be achieved quickly by breaking down the steps involved in the process. Starting from tokenization, where input data is converted into tokens, these tokens are then embedded into numerical representations understood by the model. These embeddings are
Table of contents
10 minutes are all you need to understand how Transformers work in LLMIntroductionHow GPT process data and generate next tokenStep 1: TokenizationStep 2: Embedding LayersStep 3: Transformer LayersStep 4: Projecting to the Vocabulary for Token PredictionFurther Reading and References4 Comments
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