Tip: Use f32 as the default. Use f16 or bf16 when the host ML capability expects reduced-precision inputs — this is common for inference on GPUs. Use f64 only when you need the extra precision, such as accumulating loss values over many steps.
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Yes, you could. However, setting up FxLifeSheet is a bit of a challenge and requires engineering skills and time. Some of the features are specific to my life (like the services I use), and so you’d have to modify parts of the codebase. This project is 100% open source MIT licensed, so you can use, and modify everything to your liking. However, I don’t plan on productionizing this project, nor providing any support on GitHub for it.