AI Papers Academy, Author at AI Papers Academy

Orca Research Paper Explained

In this post we dive into Orca’s paper which shows how to do imitation tuning effectively, outperforms ChatGPT with about 7% of its size!

In this post we dive into the LongNet research paper which introduced the Dilated Attention mechanism and explain how it works

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.

Consistency models are a new type of generative models which were introduced by Open AI, and in this post we will dive into how they work

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.

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.

In this post we dive into Meta-Transformer, a unified framework for multimodal learning, which can process information from 12(!) modalities