AI Papers Academy, Author at AI Papers Academy

Self-Rewarding Language Models by Meta AI

In this post we dive into the Self-Rewarding Language Models paper by Meta AI, which can possibly be a step towards open-source AGI

Diving into a research paper introducing an innovative method to enhance LLM inference efficiency using memory offloading

In this post we dive into TinyGPT-V, a small but mighty Multimodal LLM which brings Phi-2 success to vision-language tasks

In this post we dive into LLM in a flash paper by Apple, that introduces a method to run LLMs on devices that have limited memory

In this post we go back to the important vision transformers paper, to understand how ViT adapted transformers to computer vision

Dive into Orca 2 research paper, the second version of the successful Orca small language model from Microsoft,

Following LCM-LoRA release, in this post we explore the evolution of diffusion models up to latent consistency models with LoRA

In this post we dive into Microsoft’s CODEFUSION, an approach to use diffusion models for code generation that achieves remarkable results

In this post we dive into Table-GPT, a novel research by Microsoft, that empowers LLMs to understand tabular data

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