AI Briefing#bert
The latest AI and developer news about #bert, with the original source and a short summary.
The latest AI and developer news about #bert, with the original source and a short summary.
Toss Securities designed three gates before and after generation to ensure the reliability of financial AI.
A legal NER model trained on 33,000 Indian Supreme Court judgments has been released, showing improved performance over existing models.
ModernBERT, a next-generation BERT replacement model with an 8,192-token long context and improved performance, has been released.
Rocket Money successfully deployed a BERT model with more than 4,000 classes into production using the Hugging Face Inference API.
This article explains the principles of MLM and CLM, which are core to BERT and GPT2, and introduces how to build domain-specific models by directly implementing a Transformer encoder in PyTorch.
A guide to optimizing BERT model inference performance and reducing costs using AWS Inferentia and Hugging Face Transformers.
It explains how to optimize BERT model inference performance by leveraging the hardware and software features of Intel Xeon CPUs.
Kakao will reveal eight AI technology sessions at the @if(kakao)2021 conference, including inference 10 times faster than TensorFlow Serving and BERT training optimization.
This explains optimization strategies and benchmarking methodology for maximizing BERT model inference performance in modern CPU environments.
The performance of TensorFlow models in Hugging Face Transformers has been improved, becoming up to 10% faster than Google's implementation.