«Власть обрушилась стремительно»Почему пал режим Башара Асада и как события в Сирии изменят ситуацию на Ближнем Востоке?9 декабря 2024
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Around this time, my coworkers were pushing GitHub Copilot within Visual Studio Code as a coding aid, particularly around then-new Claude Sonnet 4.5. For my data science work, Sonnet 4.5 in Copilot was not helpful and tended to create overly verbose Jupyter Notebooks so I was not impressed. However, in November, Google then released Nano Banana Pro which necessitated an immediate update to gemimg for compatibility with the model. After experimenting with Nano Banana Pro, I discovered that the model can create images with arbitrary grids (e.g. 2x2, 3x2) as an extremely practical workflow, so I quickly wrote a spec to implement support and also slice each subimage out of it to save individually. I knew this workflow is relatively simple-but-tedious to implement using Pillow shenanigans, so I felt safe enough to ask Copilot to Create a grid.py file that implements the Grid class as described in issue #15, and it did just that although with some errors in areas not mentioned in the spec (e.g. mixing row/column order) but they were easily fixed with more specific prompting. Even accounting for handling errors, that’s enough of a material productivity gain to be more optimistic of agent capabilities, but not nearly enough to become an AI hypester.
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Black women described experiences of being deemed as having "tough skin" and "able to tolerate pain".
摘要:在通用智能体时代,深度思考(Deep Thinking)与长程执行(Long-Horizon Agent)正成为基座模型的新范式。本文深度评测蚂蚁百灵最新开源的 Ring-2.5-1T 思考模型,通过 Ling Studio 实战演示其在复杂代码重构与逻辑推理上的惊人表现,并挖掘 Ling + Tbox 的“隐藏玩法”,打造一套极客专属的 Agentic Workflow。,详情可参考heLLoword翻译官方下载