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Universal and Transferable Adversarial LLM Attacks
LLMs are aligned for safety to avoid generation of harmful content. In this post we review a paper that is able to successfully attack LLMs…
Meta-Transformer: A Unified Framework for Multimodal Learning
In this post we dive into Meta-Transformer, a unified framework for multimodal learning, which can process information from 12(!) modalities…
From Sparse to Soft Mixture of Experts
In this post we review Google DeepMind’s paper that introduces Soft Mixture of Experts, a fully-differentiable sparse Transformer…
What is YOLO-NAS and How it Was Created
YOLO-NAS is an object detection model with the best accuracy-latency tradeoff to date. In this post we explain how it was created…