IBM Research Open-Sources Docling: An AI Tool for High-Precision PDF Document Conversion and Structural Integrity Maintenance Across Complex Layouts

Researchers from Seoul National University, Seoul National University College of Medicine, and Columbia University have developed an AI-driven camera system that can diagnose obstructive sleep apnoea (OSA) from home. The system, called SlAction, uses infrared videos…

Knowledge graphs, like the Financial Dynamic Knowledge Graph (FinDKG) and the Knowledge Graph Transformer (KGTransformer), are valuable tools for enhancing AI systems. These graphs capture interconnected facts and temporal dynamics, allowing for better understanding and analysis.…

Understanding Software Engineering Agents Software engineering agents are crucial for handling complex coding tasks, especially in large codebases. These agents use advanced language models to: Interpret natural language descriptions Analyze codebases Implement modifications They are valuable…

The GPT-Vision model, which has generated excitement for its ability to understand and generate content related to text and images, lacks a clear understanding of its strengths and limitations. To address this, researchers from the University…

The article discusses the advancements in text-to-image generation using computer vision and generative modeling. It highlights the principles and features of a new model called Kandinsky, which combines latent diffusion techniques with image prior models. Kandinsky…

“Intelligent Model Architecture Design (MAD)” explores the idea of using generative AI to guide researchers in designing more effective and efficient deep learning model architectures. By leveraging techniques like Neural Architecture Search (NAS) and graph-based approaches,…

Understanding Controllable Safety Alignment (CoSA) Why Safety in AI Matters As large language models (LLMs) improve, ensuring their safety is crucial. Providers typically set rules for these models to follow, aiming for consistency. However, this “one-size-fits-all”…

Small and Large Language Models: Balancing Precision, Efficiency, and Power in the Evolving Landscape of Natural Language Processing Small Language Models: Precision and Efficiency Small language models, with fewer parameters and lower computational requirements, offer practical…

Machine Unlearning: Enhancing Resilience Against Risks and Vulnerabilities Introduction The increasing use of machine learning models in critical applications has raised concerns about their susceptibility to manipulation and exploitation. Techniques are urgently needed to allow models…

Google has expanded its AI-powered code assistance features in Colab, making them available to all users, not just those on paid plans. This marks a pivotal move towards inclusivity and accessibility in coding and AI development.…

Understanding Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) are essential for answering complex questions. They use advanced techniques to improve how they find and generate responses. One effective method is Retrieval-Augmented Generation (RAG), which enhances the…

Model Evaluation Using a Panel of Large Language Models Evaluators (PoLL) Addressing Challenges in Large Language Models (LLMs) Large Language Models (LLMs) are advancing rapidly, but the lack of adequate data for thorough verification poses a…

Understanding Event-Driven AI Agents Event-driven architectures are becoming increasingly popular in the world of artificial intelligence. They allow systems to respond to events in real-time, making them more efficient and scalable. This guide focuses on building…

Practical Solutions and Value of Sharpness-Aware Minimization (SAM) Enhancing Generalization and Robustness Sharpness Aware Minimization (SAM) offers superior performance in managing random label noise, outperforming traditional methods. It demonstrates robustness in scenarios with label noise and…

Introduction to Hugging Face’s SmolAgents Framework Hugging Face’s SmolAgents framework offers a simple and efficient method for creating AI agents that utilize tools such as web search and code execution. This guide illustrates how to develop…