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Latest AI Papers Reviews

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-preview2

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 vs Transformer architecture

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…
GenRM preview image

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-oreview

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!…
MoNE Architecture Overview

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…
MoE_layer

Introduction to Mixture-of-Experts (MoE)

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

Mixture-of-Agents Enhances Large Language Model Capabilities

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…
Abacus Embeddings Overview

Arithmetic Transformers with Abacus Positional Embeddings

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

CLLMs: Consistency Large Language Models

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

Most Read AI Papers Reviews

Tokenformer vs Transformer architecture

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-oreview

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!…
Era of 1 bit LLMs Pareto improvement

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 as foundational model

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…

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