Perplexity(@perplexity_ai)
This pipeline is why the same base model produces more accurate, better-cited, and more efficient an...
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TL;DR · AI 摘要
Perplexity分享了其提升基础模型性能的pipeline,涵盖准确性、引用质量和效率。
核心要点
- 通过pipeline优化,同一模型在Perplexity中表现更优。
- 研究重点是搜索增强语言模型的技术改进。
- 提供了详细研究链接供进一步了解。
#Perplexity#AI#NLP
打开原文Read our research: https://t.co/pYjUTnkPMW" / X

This pipeline is why the same base model produces more accurate, better-cited, and more efficient answers inside Perplexity than out of the box. Read our research:
