«Запасов газа осталось на два дня». Европа становится уязвимой из-за конфликта на Ближнем Востоке. Почему?00:54
Resolution: full persistence serializer migration from MemoryPack to MessagePack-CSharp source-generated contracts (MessagePackObject), covering both snapshot and journal payloads.
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Oracle has already leaned in on debt, relative to the other hyperescalers. The company has disclosed more than $248 billion of not-yet-commenced data-center lease commitments and it has borrowings of about $124 billion. Last year, Oracle issued $25.8 billion in notes with maturities dating to 2065 and last month pledged to raise $45 billion to $50 billion more this year, split between debt issuance and equity. On Thursday, Bloomberg reported that Oracle was planning to layoff thousands of employees as it grapples with a cash crunch to finance its data center build out. Oracle declined to comment.，推荐阅读新收录的资料获取更多信息
We are pleased to announce Phi-4-reasoning-vision-15B, a 15 billion parameter open‑weight multimodal reasoning model, available through Microsoft Foundry (opens in new tab), HuggingFace (opens in new tab) and GitHub (opens in new tab). Phi-4-reasoning-vision-15B is a broadly capable model that can be used for a wide array of vision-language tasks such as image captioning, asking questions about images, reading documents and receipts, helping with homework, inferring about changes in sequences of images, and much more. Beyond these general capabilities, it excels at math and science reasoning and at understanding and grounding elements on computer and mobile screens. In particular, our model presents an appealing value relative to popular open-weight models, pushing the pareto-frontier of the tradeoff between accuracy and compute costs. We have competitive performance to much slower models that require ten times or more compute-time and tokens and better accuracy than similarly fast models, particularly when it comes to math and science reasoning.