在 AWS 上進行基礎模型訓練與推理的建構基石 (Building Blocks)★ 75
Hugging Face Blog33 days agoTutorialIn the era of generative AI, training and deploying foundation models with billions of parameters faces enormous computational and architectural challenges…
Hugging Face 推出適用於 Amazon SageMaker 的 Embedding 容器，大幅提升向量生成效能★ 75
Hugging Face Blog737 days agoReleaseHugging Face has announced the launch of a new Hugging Face Embedding container (Deep Learning Container, DLC) designed specifically for Amazon SageMaker. This…
Fetch 採用 Amazon SageMaker 與 Hugging Face，成功降低 50% 機器學習處理延遲
Hugging Face Blog1,017 days agoBusinessThis case study examines how Fetch, a leading consumer rewards platform in the United States, leveraged the collaboration between Amazon SageMaker and Hugging…
Hugging Face 推出適用於 Amazon SageMaker 的 LLM 推理容器 (LLM Inference Container)★ 75
Hugging Face Blog1,110 days agoReleaseHugging Face and AWS have jointly announced the new "Hugging Face LLM Inference Container" — a brand-new deep learning container (DLC) purpose-built for Amazon…
使用 Hugging Face Transformers 與 AWS Inferentia 加速 BERT 推論
Hugging Face Blog1,551 days agoTutorialWhen deploying large language models such as BERT in production environments, inference latency and computational cost are often two major pain points for…
使用 Hugging Face Transformers 與 Amazon SageMaker 部署 GPT-J 6B 進行推論
Hugging Face Blog1,615 days agoTutorialWith the rise of open-source large language models, deploying these models in cloud environments in a secure, stable, and scalable manner has become a critical…
使用 Amazon SageMaker 輕鬆部署 Hugging Face 模型
Hugging Face Blog1,802 days agoReleaseHugging Face and Amazon Web Services (AWS) have entered into a deep collaboration aimed at simplifying the deployment process of machine learning models from…