Abstract: Log parsing, the process of transforming raw logs into structured data, is a key step in the complex computer system's intelligent operation and maintenance and therefore has received ...
A tool/package that takes a defined language (provided in a grammar file) and generates parser and lexer classes in one of the supported target languages. These classes can be used in your project to ...
Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...
The RAM required to run machine learning models on local hardware is roughly 1GB per billion parameters when the model is quantized at 8 bits. Double or halve the precision and you double or halve the ...
markdown-rs is an open source markdown parser written in Rust. It’s implemented as a state machine (#![no_std] + alloc) that emits concrete tokens, so that every byte is accounted for, with positional ...
Abstract: We recently demonstrated the remarkable performance of scene parsing, and one of its aspects was shown to be relevant to performance, namely, generation of multilevel feature representations ...
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