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Focused pieces on ML/NLP/AIGC topics.

Data Contribution Estimation (DCE) for Machine Learning: Tutorial@NeurIPS 2023 in 10-minutes

Prof. Ruoxi Jia, the tutorial's presentor has kindly proofread this summary. Data Contribution Estimation (DCE) estimates how important a training data point is to the model's performance. People use DCE to (1) find mislabeled data that has negative impact on performance; (2) conduct data valuation to
Jinghong Chen Dec 12, 2023
Highlight Talks @NeurIPS 2023

Highlight Talks @NeurIPS 2023

Here are the highlights of Talks from Day 1. Optimizing LLM Inference: the topic comes up in 4 talks. * Databricks presents how to use first principles to optimize Transformer inference. Linden Li explains the steps of inference, "prefill" and "decode", and shows simple formulas to determine
Jinghong Chen Dec 11, 2023

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