To give the conclusion first, running tasks x5 in single (serial) mode took too long, so I implemented 5-parallel execution, which reduced the total completion time to about half of the ...
Last time, I wrote about creating my own SWE-bench-style harness called `llmbench` to measure how usable local LLMs actually are. It's a system that scores local models using 40 problems (from L1 easy ...
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Autoresearch for weather dycores. Contribute to khzhao/dynamaxx development by creating an account on GitHub.
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