Category: Uncategorized

Cuando su director ejecutivo o director financiero le pregunta sobre el presupuesto necesario para la remediación de la deuda técnica, ¿se encuentra con dificultades para justificar la inversión? No es el único. Si bien los directores de TI comprenden el peso aplastante de la deuda técnica, traducir esto a un lenguaje empresarial convincente para la junta… Read more

Your physical and mental well-being are crucial—but the picture isn’t complete if you aren’t flexing your connection muscles, too. Here’s how to build—and keep—your social health. Read more

FineWeb2 significantly advances multilingual pretraining datasets, covering over 1000 languages with high-quality data. The dataset uses approximately 8 terabytes of compressed text data and contains nearly 3 trillion words, sourced from 96 CommonCrawl snapshots between 2013 and 2024. Processed using the datatrove library, FineWeb2 demonstrates superior performance compared to established datasets like CC-100, mC4, CulturaX,… Read more

Multimodal reasoning—the ability to process and integrate information from diverse data sources such as text, images, and video—remains a demanding area of research in artificial intelligence (AI). Despite advancements, many models still struggle with contextually accurate and efficient cross-modal understanding. These challenges often stem from limitations in scale, narrowly focused datasets, and restricted access to… Read more

The advancement of artificial intelligence hinges on the availability and quality of training data, particularly as multimodal foundation models grow in prominence. These models rely on diverse datasets spanning text, speech, and video to enable language processing, speech recognition, and video content generation tasks. However, the lack of transparency regarding dataset origins and attributes creates… Read more

Artificial Intelligence (AI) has been making significant advances with an exponentially growing trajectory, incorporating vast amounts of data and building more complex Large Language Models (LLMs). Training these LLMs requires more computational power and resources for memory allocation, power usage, and hardware. Optimizing memory utilization for different types and configurations of GPUs is complex. Deciding… Read more

Graphical User Interfaces (GUIs) play a fundamental role in human-computer interaction, providing the medium through which users accomplish tasks across web, desktop, and mobile platforms. Automation in this field is transformative, potentially drastically improving productivity and enabling seamless task execution without requiring manual intervention. Autonomous agents capable of understanding and interacting with GUIs could revolutionize… Read more

Multi-agent systems (MAS) are pivotal in artificial intelligence, enabling multiple agents to work collaboratively to solve intricate tasks. These systems are designed to function in dynamic and unpredictable environments, addressing data analysis, process automation, and decision-making tasks. By incorporating advanced frameworks and leveraging large language models (LLMs), MAS has increased efficiency and adaptability for various… Read more

o3 solved one of the most difficult AI challenges, scoring 75.7% on the ARC-AGI benchmark. But does it really mean we’re closer to AGI?Read More Read more

Current datasets used to train and evaluate AI-based mathematical assistants, particularly LLMs, are limited in scope and design. They often focus on undergraduate-level mathematics and rely on binary rating protocols, making them unsuitable for evaluating complex proof-based reasoning comprehensively. These datasets lack representation of critical aspects of mathematical workflows, such as intermediate steps and problem-solving… Read more