Probing Image-Language Transformers for Verb Understanding
Probing Image-Language Transformers for Verb Understanding - Research on multimodal transformer models' verb understanding using the SVO-Probes dataset.
Probing Image-Language Transformers for Verb Understanding
Investigating the ability of pretrained multimodal Image-Language transformers to discern verbs in sentences using a dataset of image-sentence pairs.
Stanford AI Lab Papers and Talks at AAAI 2022
A blogpost providing links to papers, videos, and blogs from the Stanford AI Lab being presented at the 36th AAAI Conference on Artificial Intelligence (AAAI 2022).
Accelerating fusion science through learned plasma control
Accelerating fusion science through learned plasma control using deep reinforcement learning
Accelerating fusion science through learned plasma control
Using deep reinforcement learning to successfully control nuclear fusion plasma in a tokamak and accelerate fusion science.
MuZero’s first step from research into the real world
Exploring MuZero's application in video compression for YouTube to optimize bitrate and improve video experiences.
MuZero’s first step from research into the real world
MuZero's application in optimizing video compression in the VP9 codec through collaboration with YouTube.
Red Teaming Language Models with Language Models
An exploration of using language models to detect and prevent harmful behavior, providing insights and techniques for red teaming and mitigating risks in real-world applications.
Red Teaming Language Models with Language Models
Finding harmful model behaviors by automatically generating inputs using language models themselves.
Chrome 99: CSS Cascade Layers, a New Picker for Input Elements, and More
This technical blog post discusses the new features and updates in Chrome 99, including CSS cascade layers, a new picker for input elements, preparations for Chrome 100, origin trials, canvas 2D features, improvements in CSS calc(), and various deprecations and removals.
Solving (some) formal math olympiad problems
Exploring strategies for tackling formal math olympiad problems effectively
Announcing GPT-NeoX-20B
Introducing GPT-NeoX-20B, a collaborative 20 billion parameter model developed with CoreWeave.