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相关概念视频

Language01:16

Language

891
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
891
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

753
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
753
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

562
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
562
Conjugate Addition (1,4-Addition) vs Direct Addition (1,2-Addition)01:27

Conjugate Addition (1,4-Addition) vs Direct Addition (1,2-Addition)

4.2K
α,β-Unsaturated carbonyl compounds with two electrophilic sites, the carbonyl carbon, and the β carbon, are susceptible to nucleophilic attack via two modes: conjugate or 1,4-addition and direct or 1,2-addition.
Conjugate addition results in a thermodynamically stable product. The reaction retains the stronger C=O bond at the expense of the weaker C=C π bond. The process is slow as the β carbon is less electrophilic than the carbonyl carbon.
Direct addition products are...
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Pharmaceutical Equivalents01:26

Pharmaceutical Equivalents

183
As defined by regulatory standards, pharmaceutical equivalents require generic drug products to have identical dosage forms and chemically identical active pharmaceutical ingredients (APIs). They must adhere to compendial or applicable standards for potency, content uniformity, disintegration times, and dissolution rates. In the case of modified-release dosage forms, variations in drug content are permissible as long as the delivered amount remains consistent with the innovator drug product.
183
Components of Language01:24

Components of Language

763
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
763

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相关实验视频

Updated: Jan 21, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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使用大型语言模型加速用于机器学习的数据集生成:制药添加剂制造案例.

Paola Carou-Senra1, Lucía Rodríguez-Pombo1, Carmen Alvarez-Lorenzo1

  • 1Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Instituto de Materiales (iMATUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela 15782 Santiago de Compostela, Spain.

International journal of pharmaceutics
|January 19, 2026
PubMed
概括
此摘要是机器生成的。

一个新的GPT-4框架自动从文献中提取药物数据,创建高质量的数据集. 这种深度提示工程显著减少了手工劳动,并加速了在专业领域的机器学习模型开发.

关键词:
增材制造 增材制造是一种增材制造.在 GPT-4 中使用.创建大型数据集大型语言模型.机器学习 机器学习自然语言处理自然语言处理.

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科学领域:

  • 制药研究 制药研究
  • 机器学习 机器学习
  • 数据科学是数据科学.

背景情况:

  • 高质量的数据集对于机器学习 (ML) 在制药研究等专业领域至关重要.
  • 从科学文献中手动提取数据是耗时和劳动密集的.
  • 现有的方法在药物开发中与异质数据源作斗争.

研究的目的:

  • 开发一种新的深度提示工程框架,以自动化用于制药研究的数据集生成.
  • 将GPT-4转化为一种加速和准确地从文献中提取关键参数的工具.
  • 为了减少用于ML模型的结构化数据集创建所需的手工工作和时间.

主要方法:

  • 采用多组提示策略,使用GPT-4分析了70个全文制药喷墨印刷文章.
  • 提取和计算了22个与领域相关的变量,分类为打印,风湿学和药物剂量参数.
  • 输出被严格地与由领域专家编制的人类策划数据集进行了基准比较.

主要成果:

  • 在4,217个数据点中,GPT-4框架实现了0.942的整体准确性.
  • 计算变量显示高精度 (0.983),即使是复杂的计算和单位转换.
  • 每件产品的处理时间从数小时的人力努力减少到不到3.5分钟.

结论:

  • 新的提示工程方法使GPT-4能够生成可靠的,高质量的,文献衍生的数据集.
  • 这种方法显著减少了手工劳动,同时保持了ML模型训练的专家级准确性.
  • 该战略促进了机器学习在制药和其他数据密集型领域的可扩展性.