Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Language and Cognition01:27

Language and Cognition

440
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.
440
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.7K
2.7K
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

1.0K
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...
1.0K
Multiple Comparison Tests01:13

Multiple Comparison Tests

4.0K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.0K
Language Development01:22

Language Development

447
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...
447
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.4K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.4K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Etiology Model of Kawasaki Disease and Multisystem Inflammatory Syndromes: Mast Cell Activation.

Current issues in molecular biology·2026
Same author

An efficient strategy for fine-tuning large language models.

Frontiers in artificial intelligence·2026
Same author

Comprehensive guide for epigenetics and transcriptomics data quality control.

STAR protocols·2025
Same author

Novel broadly reactive monoclonal antibody protects against <i>Pseudomonas aeruginosa</i> infection.

Infection and immunity·2024
Same author

<i>Fusarium</i> species associated with <i>Euwallacea xanthopus</i> in South Africa, including two novel species.

Mycologia·2024
Same author

VAERS Vasculitis Adverse Events Retrospective Study: Etiology Model of Immune Complexes Activating Fc Receptors in Kawasaki Disease and Multisystem Inflammatory Syndromes.

Life (Basel, Switzerland)·2024
Same journal

Logic, inference, understanding: cross-domain generalization for generative language models.

Frontiers in artificial intelligence·2026
Same journal

Label tree semantic losses for rich multi-class medical image segmentation.

Frontiers in artificial intelligence·2026
Same journal

Score-based generative diffusion models to synthesize full-dose FDG brain PET from MRI in epilepsy patients.

Frontiers in artificial intelligence·2026
Same journal

Resource-efficient retrieval-augmented question answering for the Indian Lok Sabha dataset.

Frontiers in artificial intelligence·2026
Same journal

Violation detection in power operation sites based on multi-scale detection and few-shot learning.

Frontiers in artificial intelligence·2026
Same journal

Deep reinforcement learning-based reversible medical image encryption framework for secure IoMT environments.

Frontiers in artificial intelligence·2026
関連記事をすべて見る

関連する実験動画

Updated: Sep 10, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

681

閉じたライブラリマルチドキュメントのクエリ,テスト生成,および評価のための大規模な言語モデル

Claire Randolph1, Adam Michaleas2, Darrell O Ricke2

  • 1Department of the Air Force, Artificial Intelligence Accelerator, Cambridge, MA, United States.

Frontiers in artificial intelligence
|August 22, 2025
PubMed
まとめ
この要約は機械生成です。

この研究は,大型言語モデル (LLM) とリトリーバル・アグメントド・ジェネレーション (RAG) を使用して複雑な知識を管理するためのソリューションであるAIKITを紹介しています. AIKITは,大規模な,進化する文書から知識の獲得とテストの生成を向上させます.

キーワード:
LLM についてラングチェインRAG について大型言語モデルリトリーバルの拡張生成

さらに関連する動画

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

575
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

634

関連する実験動画

Last Updated: Sep 10, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

681
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

575
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

634

科学分野:

  • 人工知能
  • 知識管理
  • 情報科学

背景:

  • 技術的な職業は 複雑で頻繁に更新される文書から 進化する知識を学ぶという課題に直面しています
  • 知識テストの作成と改訂は,広範な知識基盤の更新を追跡する必要があります.
  • 大規模言語モデル (LLM) は,AIによる知識獲得と継続的な学習の枠組みを提供します.
  • リトリーバル・アグメンテッド・ジェネレーション (RAG) は,事前訓練されたLLMとドメイン特有の知識ベースを統合します.

研究 の 目的:

  • 大型文書に関する有効なLLM-RAG質問応答のための方法 (DaaDy,SQAD) を導入する.
  • 知識集約的なタスクのためのAI (AIKIT) ソリューションを提示し,訓練および継続教育のための多数のドキュメントを管理します.
  • オープンソースのコンテナ化ソリューションを様々なシステムに展開します

主な方法:

  • LLM-RAGの実装のために,DaaDy (辞書としての文書) とSQAD (構造化された質問答え辞書) を開発しました.
  • LLM,RAG,ベクトルストア,Webインターフェイスを統合したコンテナ化されたオープンソースソリューションであるAIKITを作成しました.
  • 長いソースドキュメントの質問範囲を改善するために,ドキュメントセグメンテーションを使用しました.

主要な成果:

  • 文書のセグメンテーションは,LLM-RAGで生成された質問,特に長い文書のカバーを強化します.
  • AIKITは,マルチモダルのRAGソースドキュメントで複数のLLMモデルの使用を容易にします.
  • AIKITは,単一または複数のLLMモデルのクエリに対するLLM-RAG応答を保持します.

結論:

  • AIKITは,複雑な情報でLLM-RAGの機能を活用するためのユーザーフレンドリーなツールキットを提供しています.
  • このソリューションは,複数のLLMモデルの統合と利用を簡素化します.
  • AIKITは,クエリ応答を保持することによって,技術分野での継続的な学習と知識管理をサポートします.