3 articles
Hugging Face and Ray integrate Retrieval Augmented Generation (RAG) into Transformers. The tutorial demonstrates combining document retrieval with language models to improve answer accuracy on external data.
Hugging Face announces optimized integration with PyTorch/XLA for Google TPUs. The collaboration improves training and inference performance for models on TPU accelerators, with native support for Hugging Face workflows.
OpenAI releases analysis of large language models' capabilities and limitations, covering societal impacts. The study examines strengths, weaknesses, and ethical implications of these systems without announcing a new model or specific benchmark.