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#model-versioning News & Analysis

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

2 articles
AINeutralarXiv – CS AI · 5h ago6/10
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LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning

This arXiv paper proposes a framework for Industrial Continual Learning (ICL) in large language models, addressing the challenge of continuously updating deployed models without retraining from scratch. The research identifies three core technical challenges—model plasticity erosion, capability inheritance breaks during upgrades, and deployment sustainability constraints—and proposes five lifecycle design principles to guide industrial LLM development and evolution.

AINeutralarXiv – CS AI · May 16/10
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Test Before You Deploy: Governing Updates in the LLM Supply Chain

Researchers propose a deployment-side governance framework for managing Large Language Model updates, addressing the problem of silent behavioral changes in hosted LLM services that lack explicit versioning. The framework combines production contracts, risk-category-based testing, and compatibility gates to prevent regressions in functionality, safety, and performance.