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Tokenization Process and Vector Stores
This chapter discusses the tokenization process of the GPT transformer model, the limitations of previous language models, and the use of vector stores for document storage and retrieval. It also explores context management in AWS Bedrock and the process of training models in parameter efficient fine-tuning.