A group of researchers from UC Berkeley, Stanford, and King Abdulaziz City for Science and Technology has proposed a programmatic framework called RULES to evaluate the rule-following ability of large language models (LLMs). RULES consists of 15 text scenarios with specific rules for model behavior. The study highlights vulnerabilities in popular LLMs like GPT-4 and…

NVIDIA has unveiled its latest Maxine developer platform, introducing GPU-accelerated AI services that enhance video and audio streams in real time. The update includes features like augmented reality, audio effects, video effects, Live Portrait animation using a standard webcam, Voice Font for creating a unique digital voice, and Eye Contact, which enhances conversation engagement. Maxine…

GateLoop is a novel sequence model developed by researchers from Johannes Kepler University. It outperforms existing linear recurrent models in auto-regressive language modeling. GateLoop offers low-cost recurrent and efficient parallel modes and introduces a surrogate attention mode with implications for Transformer architectures. It emphasizes the significance of data-controlled cumulative products for more robust sequence models.…

Artificial intelligence has proven to be a valuable tool in the field of chemistry and polymer science. By predicting chemical reactions and suggesting optimal combinations, AI helps scientists discover new materials and accelerate the development process. Researchers are also exploring the use of biomass and waste materials to create more sustainable polymers with enhanced properties.…

Researchers from Duke University and the Air Force Research Laboratory have introduced a new approach called Policy Stitching (PS) to tackle challenges in using reinforcement learning (RL) for teaching robots new skills. PS enables the combination of separately trained robots and task modules to create a new policy for rapid adaptation, showing exceptional zero-shot and…

Nvidia has developed new chips, the HGX H20, L20 PCle, and L2 PCle, as a workaround to continue selling high-end chips to Chinese companies despite US export restrictions. These chips, while less powerful than previously restricted models, allow Nvidia to maintain its presence in the Chinese market, which contributes a significant portion of its data…

OpenAI CEO Sam Altman discussed the development of their next-generation AI model, GPT-5, at a recent conference. He highlighted the challenges in AI development and the progression of OpenAI’s models. GPT-4 Turbo and the “GPTs” function were released this year, showing impressive evolution. GPT-5’s capabilities are still speculative, with rumors about its features. Bill Gates…

This text summarizes a research paper proposing a new framework called “iTransformer” for time series forecasting. The researchers from Tsinghua University suggest using independent time series as tokens to capture multivariate correlations. They believe that the Transformer architecture has untapped potential in time series forecasting and their iTransformer framework consistently achieves state-of-the-art results in experiments.…

MedCPT is a new information retrieval (IR) model for biomedicine that addresses the limitations of existing keyword-based systems. It integrates a retriever and re-ranker, achieving state-of-the-art performance in various biomedical tasks, surpassing larger models like Google’s GTR-XXL. MedCPT’s efficient architecture makes it suitable for applications such as article recommendation and document retrieval, benefiting biomedical knowledge…

The Battle of the Backbones (BoB) is a large-scale benchmark that compares different pretrained checkpoints and baselines in computer vision. It found that supervised convolutional networks perform better than transformers, while self-supervised models perform better than supervised models on same-sized datasets. ViTs are more sensitive to parameters and pretraining data, and transformers may be more…