Semantic Search and Relevance Raking for conversational text.
The current experiment uses the kaggle dataset and zoom group stats dataset as the main datasets for creating a semantical search engine with relevance ranking using pytorch, faiss, t5 and bert models.
This experiment was made in a ml.m5.2xlarge aws instance.
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Semantic Search and Relevance Raking for conversational text.