EFFICIENT AND OPTIMIZED TOKENIZER ENGINE FOR LLM INFERENCE SERVING
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Updated
Feb 2, 2026 - C++
EFFICIENT AND OPTIMIZED TOKENIZER ENGINE FOR LLM INFERENCE SERVING
A framework for generating subword vocabulary from a tensorflow dataset and building custom BERT tokenizer models.
Generate insights and rankings for potential candidates
Projeto de dados para análise de sentimentos comparando os modelos BERTimbau e LSTM para Processamento de Linguágem Natural (PLN).
This project leverages BERT for Named Entity Recognition (NER) on a medical dataset. The notebook provides a step-by-step guide, from dataset preparation to fine-tuning and saving the trained model for medical NER tasks.
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