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2024 ICML ICML 2024

Position: Will we run out of data? Limits of LLM scaling based on human-generated data

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

❓ The Questioner
🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Pablo Villalobos, Anson Ho, Jaime Sevilla, Tamay Besiroglu, Lennart Heim, Marius Hobbhahn

Topics

Machine Learning > Application Areas > Domain Adaptation Natural Language Processing > Resources & Methods > Large Language Models Artificial Intelligence > Core AI > Large Language Models

Keywords

transfer learning synthetic data generation data efficiency human-generated text available stock llm scaling
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