Výsledky vyhledávání - "Austin, Derek"

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GRAD-SUM: Leveraging Gradient Summarization for Optimal Prompt Engineering

Prompt engineering for large language models (LLMs) is often a manual time-intensive process that involves generating, evaluating, and refining prompts iteratively to ensure high-quality outputs. While there has been work on automating prompt enginee

Externí odkaz: http://arxiv.org/abs/2407.12865

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From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams

Autor: Drori, Iddo, Zhang, Sarah J., Shuttleworth, Reece, Zhang, Sarah, Tyser, Keith, Chin, Zad, Lantigua, Pedro, Surbehera, Saisamrit, Hunter, Gregory, Austin, Derek, Tang, Leonard, Hicke, Yann, Simhon, Sage, Karnik, Sathwik, Granberry, Darnell, Udell, Madeleine

A final exam in machine learning at a top institution such as MIT, Harvard, or Cornell typically takes faculty days to write, and students hours to solve. We demonstrate that large language models pass machine learning finals at a human level, on fin

Externí odkaz: http://arxiv.org/abs/2206.05442

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Elektronická kniha

Fracking : Risks and Rewards

Autor: Hadley, Barbara, Rennell, Tom, Austin, Derek

An in-depth report on the potential risks and rewards of hydraulic fracturing for shale gas globally

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Dissertation/ Thesis

Coupling Analysis, Simulation, and Experimentation in Natural and Engineered Biological Systems at the Molecular Scale

Autor: Austin, Derek W

Publikováno v: Doctoral Dissertations.

Cellular functions are controlled by genetic regulatory networks called gene circuits. Recently, there has been much interest in how gene circuits deal with or even exploit stochastic fluctuations in molecular species within the cellular environment.

Externí odkaz: http://trace.tennessee.edu/utk_graddiss/665