GitHub

sparse-transfer-learning-bert-python.md

This page explains how to fine-tune a pre-sparsified BERT model onto a downstream dataset with SparseML's `Trainer`. ## **Sparse Transfer Learning Overview** Sparse Transfer Learning is quite similiar ...
GitHub

how-can-i-use-python--keras-and-bert-for-deep-learning.md

Python, Keras, and BERT are all powerful tools for deep learning. Here is an example of how to use them together: # import libraries import tensorflow as tf from tensorflow import keras from ...
IEEE

Transformers for Natural Language Processing: Build innovative deep neural network ...

Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. It includes even more use cases, such as casual language analysis ...
note

Transformerは、GPTやBERTなどのAIの技術的基盤であり、Pythonライブラリ ...

話題の大規模言語モデル（LLM）の基礎理論と、Pythonでの実装を解説した本。 LLMをしっかり理解したい人に。
IEEE

OpCodeBERT: A Method for Python Code Representation Learning by BERT with Opcode

Abstract: Programming language pre-training models have made significant progress in code representation learning in recent years. Although various methods, such as data flow and Abstract Syntax Tree ...