Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated

Overview

Neural Search

Description: Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated. This engine can later be used for downstream tasks in NLP such as Q&A, summarization, generation, and natural language understanding (NLU).

bert_search

bert_tfhub

  • Status: Completed
  • Source: Use a matching preprocessing model to tokenize raw text and convert it to ids, generate the pooled and sequence output from the token input ids using the loaded (BERT) model, and look at the semantic similarity of the pooled outputs of different sentences.
  • Description: https://www.tensorflow.org/hub/tutorials/bert_experts

finetune_bert

text_summarization_encoderdecoder

Owner
Diego
Software Engineer with a love of python.
Diego
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