auto result = t.transcribe("audio.wav", parakeet::Decoder::CTC); // fast greedy
x = mmap(0, bytes, PROT_READ|PROT_WRITE, MAP_ANONYMOUS|MAP_PRIVATE, -1, 0);
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Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.
依照前款规定由一名人民警察进行询问、扣押、辨认、调解的,应当全程同步录音录像。未按规定全程同步录音录像或者录音录像资料损毁、丢失的,相关证据不能作为处罚的根据。