Speculative RAG consists of two components: (1) a specialist RAG drafter, and (2) a generalist RAG verifier. First, the base model’s knowledge retriever retrieves related documents...
Users have more choices for listening to music than ever before. Popular services boast of massive and varied catalogs. The YouTube Music catalog, for example, has...
We use LLaVA-v1.5, a widely used open-sourced MLLM, as our base model and train it using our contrastive tuning framework (HALVA). We then evaluate its performance...
Responsibility & Safety Published 2 August 2024 Authors Nahema Marchal and Rachel Xu New research analyzes the misuse of multimodal generative AI today, in order to...
Models Published 31 July 2024 Authors Language Model Interpretability team Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability. To create an artificial...
Many existing tools allow us to edit the photographs we take, from making an object in a photo pop to visualizing what a spare room might...
Acknowledgements We thank the International Mathematical Olympiad organization for their support. AlphaProof development was led by Thomas Hubert, Rishi Mehta and Laurent Sartran; AlphaGeometry 2 and...
Unfortunately, there are few large datasets that pair PPG data with long-term cardiovascular outcomes. In order to get a statistically useful number of such outcomes in...
Although traditional climate models have been improving over the decades, they often generate errors and have biases due to scientists’ incomplete understanding of how Earth’s climate...
Research Published 19 July 2024 Exploring AGI, the challenges of scaling and the future of multimodal generative AI Next week the artificial intelligence (AI) community will...