✨Genomic Next-Token Predictors are In-Context Learners
📝 Summary:
In-context learning ICL emerges organically in genomic sequences through large-scale predictive training, mirroring its behavior in language models. This first evidence suggests ICL is a general phenomenon of large-scale modeling, not exclusive to human language.
🔹 Publication Date: Published on Nov 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.12797
• PDF: https://arxiv.org/pdf/2511.12797
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#Genomics #InContextLearning #AI #MachineLearning #LLMs
📝 Summary:
In-context learning ICL emerges organically in genomic sequences through large-scale predictive training, mirroring its behavior in language models. This first evidence suggests ICL is a general phenomenon of large-scale modeling, not exclusive to human language.
🔹 Publication Date: Published on Nov 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.12797
• PDF: https://arxiv.org/pdf/2511.12797
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#Genomics #InContextLearning #AI #MachineLearning #LLMs
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