Confidence-Building Measures for Artificial Intelligence: Workshop proceedings
Post Content
Post Content
We terminated accounts associated with state-affiliated threat actors. Our findings show our models offer only limited, incremental capabilities for malicious cybersecurity tasks. Post Views: 44
We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of…
Vision and language research is a dynamically evolving field that has recently witnessed remarkable advancements, particularly in datasets that establish connections between static images and corresponding captions. These datasets also involve associating certain words within the captions with specific regions within the images, utilizing diverse methodologies. An intriguing approach is presented by the latest Localized…
We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy. While this uplift is not large enough to be conclusive,…
Premium proxies can significantly enhance the performance of your bot or web scraping applications. They present several benefits, particularly for businesses and individuals with specific usage requirements. When a proxy… The post Top 7 Premium Proxies of 2023: A Comprehensive Review first appeared on AIMultiple: High Tech Use Cases & Tools to Grow Your Business….
With the proliferation of computationally intensive machine-learning applications, such as chatbots that perform real-time language translation, device manufacturers often incorporate specialized hardware components to rapidly move and process the massive amounts of data these systems demand. Choosing the best design for these components, known as deep neural network accelerators, is challenging because they can have…