In today's era dominated by generative AI and large language models (LLMs), bidirectional encoder models (such as BERT and RoBERTa) still play an indispensable…
Despite the recent dominance of generative decoder models (such as GPT and Llama), encoder-only models (such as BERT) remain indispensable behind the scenes…
This technical blog post from Hugging Face provides a detailed guide on how to use Intel's Habana Gaudi accelerators (HPUs) for BERT model pre-training. As…
When deploying large language models such as BERT in production environments, inference latency and computational cost are often two major pain points for…
BERT (Bidirectional Encoder Representations from Transformers) is a landmark natural language processing (NLP) model proposed by Google in 2018. This Hugging…
This blog post is the second part of a technical guide co-authored by Hugging Face and Intel, designed to show developers how to push the inference performance…
In many real-world enterprise production environments, although GPUs offer extremely high throughput for deep learning inference, CPUs remain indispensable due…