Evaluating OCR systems that convert PDFs or document images into Markdown is far more complex than it appears. Unlike plain text OCR, OCR-to-Markdown requires models to recover content, layout, reading order, and representation choices simultaneously. Today’s benchmarks attempt to score this with a mix of string matching, heuristic alignment, and format-specific rules—but in practice, these…
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# Introduction
Machine learning practitioners encounter three persistent challenges that can undermine model performance: overfitting, class imbalance, and feature scaling issues. These problems appear across domains and model types, yet effective solutions exist when practitioners understand the underlying mechanics and apply targeted interventions.
# Avoiding Overfitting
Overfitting occurs…
Today, Veo is getting more expressive, with improvements that help you create more fun, creative, high-quality videos based on ingredient images, built directly for the mobile format. We’re excited to bring new creative possibilities for everyone from casual storytellers to professional filmmakers. We’re releasing: Improvements to Veo 3.1 Ingredients to Video, our capability that lets…
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# Introduction
As a data professional, you know that machine learning models, analytics dashboards, business reports all depend on data that is accurate, consistent, and properly formatted. But here's the uncomfortable truth: data cleaning consumes a huge portion of project time. Data scientists and analysts spend a great deal of…
Large language models (LLMs) are increasingly becoming a primary source for information delivery across diverse use cases, so it’s important that their responses are factually accurate. In order to continue improving their performance on this industry-wide challenge, we have to better understand the types of use cases where models struggle to provide an accurate response…
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# Introduction
As a data scientist, you're probably already familiar with libraries like NumPy, pandas, scikit-learn, and Matplotlib. But the Python ecosystem is vast, and there are plenty of lesser-known libraries that can help you make your data science tasks easier.
In this article, we'll explore ten such libraries organized…
AI presents an opportunity to build a more prosperous and secure world. The UK has already laid a strong foundation to seize this moment and is uniquely positioned to translate AI innovation into public benefit. That’s why we are excited to deepen our collaboration with the UK government to accelerate this work and offer a…
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# Introduction
Balancing classes, deadlines, and student life is already a challenge, but earning extra income doesn’t have to be.
Thanks to the rise of remote work and digital freelancing platforms, students today can access high-paying side hustles that fit perfectly around busy schedules.
Whether you prefer writing, design, coding,…
Announcing a new, open suite of tools for language model interpretability Large Language Models (LLMs) are capable of incredible feats of reasoning, yet their internal decision-making processes remain largely opaque. Should a system not behave as expected, a lack of visibility into its internal workings can make it difficult to pinpoint the exact reason for…
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# Introduction
OCR (Optical Character Recognition) models are gaining new recognition every day. I am seeing new open-source models pop up on Hugging Face that have crushed previous benchmarks, offering better, smarter, and smaller solutions.
Gone are the days when uploading a PDF meant getting plain text with lots…