FMplex is a serving system that virtualizes FM backbones for sharing across tasks, claiming up to 80% lower latency and 6x more tasks hosted versus prior approaches.
Parameter efficient fine tuning: A comprehensive analysis across applications
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
An empirical study finds that Direct Preference Optimization simplifies chatbot fine-tuning, improves efficiency, and yields competitive BLEU/ROUGE/cosine similarity scores, while noting training instability.
citing papers explorer
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FMplex: Model Virtualization for Serving Extensible Foundation Models
FMplex is a serving system that virtualizes FM backbones for sharing across tasks, claiming up to 80% lower latency and 6x more tasks hosted versus prior approaches.
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Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical Study
An empirical study finds that Direct Preference Optimization simplifies chatbot fine-tuning, improves efficiency, and yields competitive BLEU/ROUGE/cosine similarity scores, while noting training instability.