当你终于有了完整的初稿，哪怕它再难看，哪怕你再不满意，奇迹也会发生：你从“创作者”变成了“批评者”。这时候你才能看清哪里该增，哪里该删，哪里该调，哪里的语言要有诗意，哪里的情节不到位，哪个人物的形象和性格不合适。修改不是修补，是二次创作，是在粗糙的矿石里雕琢出美玉，使之发出光。
services.AddSingleton();We leveraged this existing dependency injection structure to properly set up the AOT DLL build. By defining a custom IoC container and injecting it with the concrete implementations required for offline play we were able to minimize the amount of refactoring necessary to make everything work. For the previous telemetry client example, we simply inject a no-op implementation in the serverless code.
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Accuse the agent of potentially cheating its algorithm implementation while pursuing its optimizations, so tell it to optimize for the similarity of outputs against a known good implementation (e.g. for a regression task, minimize the mean absolute error in predictions between the two approaches)
На Западе подчинили рой насекомых для разведки в интересах НАТО08:43
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But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.