How can we get large model level multimodal reasoning for documents, charts and videos while running only a 3B class model in production? Baidu has added a new model to the ERNIE-4.5 open source family. ERNIE-4.5-VL-28B-A3B-Thinking is a vision language model that focuses on document, chart and video understanding with a small active parameter budget.…
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# Introduction
For decades, Python's Global Interpreter Lock (GIL) has been both a blessing and a curse. It's the reason Python is simple, predictable, and approachable, but also the reason it's struggled with true multithreading.
Developers have cursed it, optimized around it, and even built entire architectures to dodge it.…
Even strong ‘long-context’ AI models fail badly when they must track objects and counts over long, messy video streams, so the next competitive edge will come from models that predict what comes next and selectively remember only surprising, important events, not from just buying more compute and bigger context windows. A team of researchers from…
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Training and maintaining AI models require a steady flow of high-quality, up-to-date data, especially from dynamic sources like search engines. Manually scraping Google, Bing, YouTube, or other search engine results pages involves challenges such as CAPTCHA, rate limits, and changing HTML structures.
For developers and data scientists building AI…
Computer-use agents have been limited to primitives. They click, they type, they scroll. Long action chains amplify grounding errors and waste steps. Apple Researchers introduce UltraCUA, a foundation model that builds an hybrid action space that lets an agent interleave low level GUI actions with high level programmatic tool calls. The model chooses the cheaper…
How do you build a single model that can learn physical skills from chaotic real world robot data without relying on simulation? Generalist AI has unveiled GEN-θ, a family of embodied foundation models trained directly on high fidelity raw physical interaction data instead of internet video or simulation. The system is built to establish scaling…
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Is your team using generative AI to enhance code quality, expedite delivery, and reduce time spent per sprint? Or are you still in the experimentation and exploration phase? Wherever you are on this journey, you can’t deny the fact that Gen AI is increasingly changing our reality today. It’s…
Can we render long texts as images and use a VLM to achieve 3–4× token compression, preserving accuracy while scaling a 128K context toward 1M-token workloads? A team of researchers from Zhipu AI release Glyph, an AI framework for scaling the context length through visual-text compression. It renders long textual sequences into images and processes…
Mathematics is the foundational language of the universe, providing the tools to describe everything from the laws of physics to the intricacies of biology and the logic of computer science. For centuries, its frontiers have been expanded by human ingenuity alone. At Google DeepMind, we believe AI can serve as a powerful tool to collaborate…
Modern progress runs on information. Every business, no matter the size or industry, depends on the constant movement of data to function, serve customers, and grow. The more digital the world becomes, the more vital it is to protect that information. Data security defines a company’s reputation, reliability, and resilience.
“ Protecting data means…