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Latest AI Papers Reviews
rStar-Math by Microsoft: Can SLMs Beat OpenAI o1 in Math?
Discover how System 2 thinking through Monte Carlo Tree Search enables rStar-Math to rival OpenAI’s o1 in math, using Small Language Models!…
Large Concept Models (LCMs) by Meta: The Era of AI After LLMs?
Explore Meta’s Large Concept Models (LCMs) - an AI model that processes concepts instead of tokens. Can it become the next LLM architecture?…
Byte Latent Transformer (BLT) by Meta AI: A Tokenizer-free LLM Revolution
Explore Byte Latent Transformer (BLT) by Meta AI: A tokenizer-free LLM that scales better than tokenization-based LLMs…
Coconut by Meta AI – Better LLM Reasoning With Chain of CONTINUOUS Thought?
Discover how Meta AI’s Chain of Continuous Thought (Coconut) empowers large language models (LLMs) to reason in their own language…
Hymba by NVIDIA: A Hybrid Mamba-Transformer Language Model
Discover NVIDIA’s Hymba model that combines Transformers and State Space Models for state-of-the-art performance in small language models…
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…
Tokenformer: Rethinking Transformer Scaling with Tokenized Model Parameters
Dive into Tokenformer, a novel architecture that improves Transformers to support incremental model growth without training from scratch…
Generative Reward Models: Merging the Power of RLHF and RLAIF for Smarter AI
In this post we dive into a Stanford research presenting Generative Reward Models, a hybrid Human and AI RL to improve LLMs…
Sapiens: Foundation for Human Vision Models
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!…
Mixture of Nested Experts: Adaptive Processing of Visual Tokens
In this post we dive into Mixture of Nested Experts, a new method presented by Google that can dramatically reduce AI computational cost…
Most Read AI Papers Reviews
Tokenformer: Rethinking Transformer Scaling with Tokenized Model Parameters
Dive into Tokenformer, a novel architecture that improves Transformers to support incremental model growth without training from scratch…
Sapiens: Foundation for Human Vision Models
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!…
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
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 from Meta AI – Finally a Foundational Model in Computer Vision
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…