A02社论 - 回归祖国25周年,澳门未来更可期

· · 来源:tutorial资讯

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Что делать, если случился нервный срыв?И как не довести себя до крайней степени стресса20 февраля 2024

'Is this a。业内人士推荐旺商聊官方下载作为进阶阅读

Digital products,更多细节参见51吃瓜

The monthly analysis gave me an idea: could Opus 4.5 design a small webapp to view the top videos by month? That gives me the opportunity to try another test of how well Opus 4.5 works with less popular frameworks than React or other JavaScript component frameworks that LLMs push by default. Here, I’ll try FastAPI, Pico CSS for the front end (because we don’t need a JavaScript framework for this), and HTMX for lightweight client/server interactivity:,推荐阅读雷电模拟器官方版本下载获取更多信息

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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.