aipapersacademy.com, Author at AI Papers Academy

Titans by Google: The Era of AI After Transformers?

Dive into Titans, a new AI architecture by Google, showing promising results comparing to Transformers! Paving the way for a new era in AI?

$rStar-Math Preview$

Discover how System 2 thinking through Monte Carlo Tree Search enables rStar-Math to rival OpenAI’s o1 in math, using Small Language Models!

Explore Meta’s Large Concept Models (LCMs) - an AI model that processes concepts instead of tokens. Can it become the next LLM architecture?

Explore Byte Latent Transformer (BLT) by Meta AI: A tokenizer-free LLM that scales better than tokenization-based LLMs

Discover how Meta AI’s Chain of Continuous Thought (Coconut) empowers large language models (LLMs) to reason in their own language.

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!