AGENTIC-SYSTEMSApril 30, 20261 min read9 views

OMEGA: Optimizing Machine Learning by Evaluating Generated Algorithms

Researchers have introduced OMEGA, an end-to-end framework designed to automate AI research from idea generation to executable code, outperforming traditional scikit-learn baselines.

Computer Science > Artificial Intelligence

Title: OMEGA: Optimizing Machine Learning by Evaluating Generated Algorithms

In order to automate AI research we introduce a full, end-to-end framework, OMEGA: Optimizing Machine learning by Evaluating Generated Algorithms, that starts at idea generation and ends with executable code. Our system combines structured meta-prompt engineering with executable code generation to create new ML classifiers. The OMEGA framework has been utilized to generate several novel algorithms that outperform scikit-learn baselines across a robust selection of 20 benchmark datasets (infinity-bench). You can access models discussed in this paper and more in the python package: pip install omega-models.

Source: arXiv cs.AI Recent

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