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相关概念视频

Reasoning01:30

Reasoning

102
Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Deductive Reasoning01:16

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Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
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Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
917
Language Development01:22

Language Development

395
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
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Source Transformation01:15

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Source transformation is a fundamental technique employed in circuit analysis, offering a valuable tool for simplifying complex electrical circuits. This technique involves the replacement of either a voltage source in series with a resistor by a current source in parallel with a resistor, or vice versa. The key concept here is that when the original sources are deactivated (turned off), the equivalent resistance at the circuit's end terminals remains the same.
It is essential to note that when...
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思想源:一个大型语言模型推理数据的中心枢纽.

Simon Ott1, Konstantin Hebenstreit1, Valentin Liévin2

  • 1Institute of Artificial Intelligence, Medical University of Vienna, Vienna, Austria.

Scientific data
|August 8, 2023
PubMed
概括
此摘要是机器生成的。

ThoughtSource是一个新的数据集和库,用于改进人工智能 (AI) 推理. 它帮助人工智能模型语言化思维步骤,解决诸如事实错误和大型语言模型 (LLM) 中偏见等局限性问题.

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Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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科学领域:

  • 人工智能的人工智能
  • 自然语言处理自然语言处理.
  • 机器学习 机器学习

背景情况:

  • 大型语言模型 (LLM) 显示出强的性能,但与复杂的推理,透明度,事实准确性和偏见作斗争.
  • 思想链 (Chain-of-thought,CoT) 提示,模型将推理步骤口头化,是解决这些LLM局限性的解决方案之一.

研究的目的:

  • 介绍ThoughtSource,这是一个全面的元数据集和用于CoT推理的软件库.
  • 促进定性理解,经验评估,并为CoT提供培训数据.
  • 推进开发更有能力,更可靠的人工智能系统.

主要方法:

  • 开发了ThoughtSource,这是一个元数据集,集成了各种各样的问答数据集.
  • 包含的数据集涵盖科学/医学,一般领域和数学词题.
  • 提供了一个软件库来支持使用和分析CoT数据.

主要成果:

  • ThoughtSource的初始版本包括15个数据集 (7个科学/医疗,3个一般,5个数学).
  • 建立了一个基础资源,用于研究和增强AI中的CoT推理.

结论:

  • ThoughtSource旨在通过提供标准化数据和工具来加速人工智能推理的进展.
  • 让研究人员能够更好地理解和提高LLMs的推理能力.