Shepherd: A Critic for Language Model Generation
Dive into Shepherd, a LLM from Meta AI which is purposed to critique responses from other LLMs, a step in resolving LLMs hallucinations.
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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.
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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
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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.