Discover NVIDIA’s Hymba model that combines Transformers and State Space Models for state-of-the-art performance in small language models…

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…

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

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

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 the era of 1-bit LLMs paper by Microsoft, which shows a promising direction for low cost large language models…

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…