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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
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On the transparency of large AI models.
Wanying Wang1, Ge Wang2, Vukosi Marivate3
1Scientific Editor, Patterns.
Patterns (New York, N.Y.)
|July 31, 2023
Summary
Publishing research on large artificial intelligence (AI) models presents unique challenges for transparency and reproducibility. This editorial offers guidance for researchers to align with journal policies and enhance the openness of their AI studies.
Area of Science:
- Artificial Intelligence
- Scientific Publishing
- Reproducibility in Science
Background:
- Large AI models present unique publication challenges.
- Ensuring openness and reproducibility in AI research is critical.
- Existing publishing norms may not adequately address AI-specific issues.
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