Retrieval-augmented generation (RAG) has emerged as a powerful paradigm for enhancing the capabilities of large language models (LLMs). By combining LLMs’ creative generation abilities with retrieval ...

Lowe’s, a leading home improvement retailer with 1,700 stores and 300,000 associates, is establishing itself as a pioneer in AI innovation. In a recent interview at Nvidia GTC25, Chandu Nair, Senior ...

Optical Character Recognition (OCR) is a powerful technology that converts images of text into machine-readable content. With the growing need for automation in data extraction, OCR tools have become ...

Enhancing the reasoning abilities of LLMs by optimizing test-time compute is a critical research challenge. Current approaches primarily rely on fine-tuning models with search traces or RL using ...

Reinforcement learning (RL) has become central to advancing Large Language Models (LLMs), empowering them with improved reasoning capabilities necessary for complex tasks. However, the research ...

VLMs have shown notable progress in perception-driven tasks such as visual question answering (VQA) and document-based visual reasoning. However, their effectiveness in reasoning-intensive tasks ...

Traditional language models rely on autoregressive approaches, which generate text sequentially, ensuring high-quality outputs at the expense of slow inference speeds. In contrast, diffusion models, ...

Modern VLMs struggle with tasks requiring complex visual reasoning, where understanding an image alone is insufficient, and deeper interpretation is needed. While recent advancements in LLMs have ...

Stereo depth estimation plays a crucial role in computer vision by allowing machines to infer depth from two images. This capability is vital for autonomous driving, robotics, and augmented reality ...

Normalization layers have become fundamental components of modern neural networks, significantly improving optimization by stabilizing gradient flow, reducing sensitivity to weight initialization, and ...

Kaggle Kernels (also called Notebooks) represent a revolutionary cloud-based platform for data science and machine learning work. They provide a complete computational environment where you can write, ...

In the field of artificial intelligence, two persistent challenges remain. Many advanced language models require significant computational resources, which limits their use by smaller organizations ...