Accelerating Hugging Face Transformers with AWS Inferentia2
Hugging Face, a popular platform for natural language processing (NLP) and computer vision models, has announced that its Transformers library can now...
Hugging Face, a popular platform for natural language processing (NLP) and computer vision models, has announced that its Transformers library can now...
Hugging Face, a popular platform for natural language processing and computer vision models, has introduced a new method for graph classification usin...
Hugging Face's blog post discusses Owkin's Substra, a framework for creating privacy-preserving artificial intelligence. Substra allows developers to ...
OpenAI has launched a bug bounty program to encourage security researchers to identify vulnerabilities in their products and services. The initiative ...
Snorkel AI and Hugging Face have collaborated on a case study to help large enterprises use pre-trained foundation models. Foundation models are large...
OpenAI's primary goal is to develop artificial intelligence in a way that prioritizes safety. The company believes this requires not only technical ex...
StackLLaMA is a pre-trained model that allows users to fine-tune and adapt the popular LLaMA AI to specific tasks. The guide provided by Hugging Face ...
Hugging Face has published its third ethics newsletter, focusing on the concept of 'ethical openness'. The company argues that open-source models and ...
Researchers have developed a method to speed up large language models using the Habana Gaudi2 accelerator. This approach, called BLOOMZ, is designed f...
Researchers have found a way to speed up the processing of Stable Diffusion, an AI model used for generating images and text. By optimizing the code f...
Hugging Face has integrated its transformer models with Flower, an open-source framework for federated learning. This allows users to train machine le...
OpenAI's ChatGPT experienced an outage on March 20. The company has released a statement explaining what caused the issue, citing a 'bug' that led to ...