Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at ...
An NVIDIA research team proposes Hymba, a family of small language models that blend transformer attention with state space models, which outperforms the Llama-3.2-3B model with a 1.32% higher average ...
Language models (LMs) based on transformers have become the gold standard in natural language processing, thanks to their exceptional performance, parallel processing capabilities, and ability to ...
A research team presents GPUDrive, a GPU-accelerated multi-agent simulator built on the Madrona Game Engine, which is capable of generating over a million experience steps per second, making it a game ...
In a new paper Time-Reversal Provides Unsupervised Feedback to LLMs, a research team from Google DeepMind and Indian Institute of Science proposes Time Reversed Language Models (TRLMs), a framework ...
Recent advancements in large language models (LLMs) have primarily focused on enhancing their capacity to predict text in a forward, time-linear manner. However, emerging research suggests that ...
An Apple research team introduces the foundation language models developed to power Apple Intelligence features. These models include a ∼3 billion parameter model optimized for efficient on-device ...
In a new paper Navigation World Models, a research team from Meta, New York University and Berkeley AI Research proposes a Navigation World Model (NWM), a controllable video generation model that ...
Navigation is a fundamental skill for any visually-capable organism, serving as a critical tool for survival. It enables agents to locate resources, find shelter, and avoid threats. In humans, ...
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