#model-composition News & Analysis

2 articles tagged with #model-composition. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Apr 147/10

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ExecTune: Effective Steering of Black-Box LLMs with Guide Models

Researchers introduce ExecTune, a training methodology for optimizing black-box LLM systems where a guide model generates strategies executed by a core model. The approach improves accuracy by up to 9.2% while reducing inference costs by 22.4%, enabling smaller models like Claude Haiku to match larger competitors at significantly lower computational expense.

🧠 Claude🧠 Haiku🧠 Sonnet

AIBullisharXiv – CS AI · Apr 146/10

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Modular Delta Merging with Orthogonal Constraints: A Scalable Framework for Continual and Reversible Model Composition

Researchers introduce Modular Delta Merging with Orthogonal Constraints (MDM-OC), a machine learning framework that enables multiple fine-tuned models to be merged, updated, and selectively removed without performance degradation or task interference. The approach uses orthogonal projections to prevent model conflicts and supports compliance requirements like GDPR-mandated data deletion.