AI Papers Academy, Author at AI Papers Academy

LLaMA-Mesh by Nvidia: LLM for 3D Mesh Generation

Dive into Nvidia’s LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models, a LLM which was adapted to understand 3D objects.

Dive into Tokenformer, a novel architecture that improves Transformers to support incremental model growth without training from scratch

In this post we dive into a Stanford research presenting Generative Reward Models, a hybrid Human and AI RL to improve LLMs

In this post we dive into Sapiens, a new family of computer vision models by Meta AI that show remarkable advancement in human-centric tasks!

In this post we dive into Mixture of Nested Experts, a new method presented by Google that can dramatically reduce AI computational cost

Diving into the original Google paper which introduced the Mixture-of-Experts (MoE) method, which was critical to AI progress

In this post we explain the Mixture-of-Agents method, which shows a way to unite open-source LLMs to win GPT-4o on AlpacaEval 2.0

In this post we dive into Abacus Embeddings, which dramatically enhance Transformers arithmetic capabilities with strong logical extrapolation

In this post we dive into Consistency Large Language Models (CLLMs), a new family of models which can dramatically speedup LLMs inference!

Learn about Representation Finetuning (ReFT) by Stanford University, a method to fine-tune large language models (LLMs) efficiently.