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Empirical Evidence on the Relationship between Compression and Intelligence
Practical Solutions and Value
Intelligence and compression are closely linked, with recent developments focusing on language modeling through the compression lens. This approach allows language models to compress data effectively, making language modeling a form of compression.
Researchers from Tencent and The Hong Kong University of Science and Technology conducted a study to empirically address the relationship between compression and intelligence. They tested the efficacy of different language models in compressing external raw data and found a linear correlation between compression efficiency and intelligence across various domains.
The study demonstrated that higher-quality compression signifies higher intelligence, providing a stable and versatile metric for assessing language models. The researchers made their data collecting and processing pipelines open source, making it easier for academics to gather and update their compression corpora.
While the study focused on base models, it highlighted intriguing connections between compression efficiency and benchmark scores of improved models, opening up exciting avenues for future research in the field of AI and language modeling.
Read the full research paper here.
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