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AlphaFold: Five Years of Impact

OpenAIJanuary 20, 202660Views 0Likes 0Comments

Increasing speed of discovery Cyril Zipfel, professor of Molecular & Cellular Plant Physiology at the University of Zurich and Sainsbury Lab, saw research timelines shrink drastically. They used AlphaFold alongside comparative genomics to better understand how plants perceive changes in their environment, paving the way for more resilient crops. AlphaFold has been cited in more…

Google Antigravity: AI-First Development with This New IDE

Data AnalyticsJanuary 15, 202671Views 0Likes 0Comments

Image by Editor # Introduction For the last couple of years, the artificial intelligence (AI) revolution in coding felt like having a very fast junior developer sitting next to you. Tools like GitHub Copilot or Cursor were amazing at finishing your sentences, but you were still the one holding the steering wheel for…

New video generation model updates

OpenAIJanuary 15, 202661Views 0Likes 0Comments

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…

Evaluating OCR-to-Markdown Systems Is Fundamentally Broken (and Why That’s Hard to Fix)

UncategorisedJanuary 15, 202675Views 0Likes 0Comments

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…

5 Useful Python Scripts to Automate Data Cleaning

Data AnalyticsJanuary 10, 202664Views 0Likes 0Comments

Image by Editor # 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…

FACTS Benchmark Suite: a new way to systematically evaluate LLMs factuality

OpenAIJanuary 10, 202664Views 0Likes 0Comments

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…

I Asked ChatGPT, Claude and DeepSeek to Build Tetris

Data AnalyticsJanuary 5, 202671Views 0Likes 0Comments

Image by Author # Introduction It seems like almost every week, a new model claims to be state-of-the-art, beating existing AI models on all benchmarks. I get free access to the latest AI models at my full-time job within weeks of release. I typically don’t pay much attention to the hype and just…

Our partnership with the UK government

OpenAIJanuary 5, 202671Views 0Likes 0Comments

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…

10 Lesser-Known Python Libraries Every Data Scientist Should Be Using in 2026

Data AnalyticsDecember 31, 202573Views 0Likes 0Comments

Image by Author # 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…

Gemma Scope 2: Helping the AI Safety Community Deepen Understanding of Complex Language Model Behavior

OpenAIDecember 31, 202568Views 0Likes 0Comments

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…