How Artificial Intelligence Interacts with Human Language by Integrating Large Language Models

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in contemporary artificial intelligence.
techxplore

AI training method slashes pre-training time by 50% while boosting accuracy

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial intelligence (AI) tools in the hands of many more people by reducing the cost ...
TechCrunch

AWS launches new Nova AI models and a service that gives customers more control

Amazon Web Services is rolling out a slate of new homegrown AI models and a service for enterprise customers to build their own custom versions. The cloud provider launched Nova 2, a fleet of four new ...
GitHub

TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models

“A simple, general, effective, and training-free approach to create text-compatible region tokens.” Before run the demo, you need to download the sam2.1_hiera_large.pt by the link provided in SAM2's ...
VentureBeat

Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...
IEEE

Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models

Abstract: Deep model training on extensive datasets is increasingly becoming cost-prohibitive, prompting the widespread adoption of deep model fusion techniques to leverage knowledge from pre-existing ...
Frontiers

Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis

1 Computer Science Department, Palestine Technical University - Kadoorie, Tulkarm, Palestine 2 Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain ...
GitHub

FlowDirector: Training-Free Flow Steering for Precise Text-to-Video Editing

TL;DR: Here, we propose FlowDirector, a training- and inversion-free framework for text-guided video editing, enabling precise object edits and temporal consistency through new spatial correction and ...
marktechpost

Meta CLIP 2: The First Contrastive Language-Image Pre-training (CLIP) Trained with Worldwide Image-Text Pairs from Scratch

Contrastive Language-Image Pre-training (CLIP) has become important for modern vision and multimodal models, enabling applications such as zero-shot image classification and serving as vision encoders ...
Frontiers

Pre-training, personalization, and self-calibration: all a neural network-based myoelectric decoder needs

Myoelectric control systems translate electromyographic signals (EMG) from muscles into movement intentions, allowing control over various interfaces, such as prosthetics, wearable devices, and ...