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EP1: How Netflix’s MediaFM Understands Movies Using AI

AdamW: A standard optimizer used to train deep learning models. Muon: A newer optimizer that Netflix found performs better ...
Frontiers

Integrating BERT pre-training with graph common neighbours for predicting ceRNA interactions

Predicting interactions between microRNAs (miRNAs) and competing endogenous RNAs (ceRNAs), including long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), is essential for understanding gene ...
Scientific Research Publishing

AI Large Language Model-Driven Pedagogical Reform and Practice for the Python Programming ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...
IEEE

Fully Quantized Matrix Arithmetic-Only BERT Model and Its FPGA-Based Accelerator

Abstract: In this paper, we propose a fully quantized matrix arithmetic-only BERT (FQ MA-BERT) model to enable efficient natural language processing. Conventionally, the BERT model relies on floating ...
Frontiers

NLP-enhanced inflation measurement using BERT and web scraping

In this research note, we explore the integration of natural language processing (NLP) and web scraping techniques to develop a custom price index for measuring inflation. Using the Harmonized Index ...
GitHub

Could your put an BERT example in knowledge distillation

MrRace changed the title Could your put BERT example in knowledge distillation Could your put BERT an example in knowledge distillation May 4, 2023 MrRace changed the title Could your put BERT an ...
GitHub

A Multi-task model based on BERT for Chinese word

Chinese word Segmentation refers to dividing a sentence into individual words (similar to “punctuation”). Text Classification refers to categorizing a passage into a specific type of information (e.g.