LLaMA: Open and Efficient Foundation Language Models

Authors: Touvron et al. Year: 2023 ArXiv/Link: https://arxiv.org/abs/2302.13971

Summary

Meta's efficient language models that demonstrated competitive performance with fewer parameters through better training data quality.

Key Concepts

• Efficiency
• Data quality
• Token efficiency
• Open source
• Foundation models

Impact

Democratized access to capable language models

Category

Open Source Models

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