Explainer Covers Tokenization, Context Windows and Embeddings for Amazon Bedrock

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A DEV Community article offers an introduction to core generative AI concepts relevant to Amazon Bedrock. It explains tokenization as the process of splitting text into tokens such as words, subwords, or characters, which models use to process language. The piece describes the context window as the maximum number of tokens a model can handle at once, determining how much prior text it can consider. It also covers embeddings, numerical vector representations that capture meaning and relationships between words, supporting tasks like semantic search and recommendations.

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