So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
Abstract: To address the issues of misidentification and missed detection of small targets, as well as the difficulty in distinguishing between targets and background during the locust object ...
This repo contains a paper-oriented pipeline for odor decoding under strict anti-leakage rules: grouped splits by recording unit (ID), DEV-only tuning/analysis, and one-shot held-out TEST. By default ...
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