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  Introducing **MachineLearningLM** 🧪📊 — a model continuously pretrained on millions of synthetic tabular ML tasks, enabling robust many-shot in-context learning.
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  📈 **Scales from 8 to 1,024 examples**
 
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  📈 ​**​~15% improvement​**​ on unseen tabular tasks compared to o3-mini / GPT-5-mini / Qwen-2.5-7B
 
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  🌲 ​**​Random-Forest–level robustness​**​
 
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  🧠 ​**​MMLU score: 75.4%​**​
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  📄 Read the paper: https://arxiv.org/abs/2509.06806
 
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  Introducing **MachineLearningLM** 🧪📊 — a model continuously pretrained on millions of synthetic tabular ML tasks, enabling robust many-shot in-context learning.
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  📈 **Scales from 8 to 1,024 examples**
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  📈 ​**​~15% improvement​**​ on unseen tabular tasks compared to o3-mini / GPT-5-mini / Qwen-2.5-7B
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  🌲 ​**​Random-Forest–level robustness​**​
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  🧠 ​**​MMLU score: 75.4%​**​
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  📄 Read the paper: https://arxiv.org/abs/2509.06806