Meta AI Archives - Page 2 of 2

Vision Transformers Need Registers – Fixing a Bug in DINOv2?

In this post we explain the paper “Vision Transformers Need Registers” by Meta AI, that explains an interesting behavior in DINOv2 features

In this post we dive into Emu, a text-to-image generation model by Meta AI, which is quality-tuned to generate highly aesthetic images.

In this post we cover FACET, a new dataset created by Meta AI in order to evaluate a benchmark for fairness of computer vision models

Discover an in-depth review of Code Llama paper, a specialized version of the Llama 2 model designed for coding tasks

DINOv2 by Meta AI finally gives us a foundational model for computer vision. We’ll explain what it means and why DINOv2 can count as such

Dive into I-JEPA, Image-based Joint-Embedding Predictive Architecture, the first model based on Yann LeCun’s vision for a more human-like AI.

ImageBind is a multimodality model by Meta AI. In this post, we dive into ImageBind research paper to understand what it is and how it works.

In this post we explain LIMA, a LLM by Meta AI which was fine-tuned on only 1000 samples, yet it achieves competitive results with top LLMs

Dive into Shepherd, a LLM from Meta AI which is purposed to critique responses from other LLMs, a step in resolving LLMs hallucinations.