This project classifies diseases in grape plant using various Machine Learning classification algorithms.
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Updated
Sep 30, 2022 - Python
This project classifies diseases in grape plant using various Machine Learning classification algorithms.
Experimental results capturing the limits on annotation noise under which MV can aggregate labels optimally.
An evaluation of prompting techniques (Zero-Shot CoT, Few-Shot, Self-Consistency) on the Mistral-7B model for mathematical reasoning. This project systematically benchmarks 7 distinct methods on the GSM8K dataset.
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