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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Guang Yang

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2 papers indexed here

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Book Open access Aug 2026

OrionInfer: Low-Overhead Parallelism Switching and Live Migration for Efficient LLM Serving

Or OrionInfer, an adaptive LLM serving system that aligns inference strategies with real-time demand and introduces three key techniques: runtime switching between data parallelism and tensor parallelism with negligible overhead, an efficient inference pipeline that preserves batching efficiency during parallelism transitions, and live-migration-based load balancing to alleviate memory pressure and improve resource utilization.

Jingqi Feng, Guang Yang, Yukai Huang et al. · 0 citations
Review

A Survey of Joint Online-Offline Fine-tuning for Large Language Models

This work advocates for Joint Online-Offline Fine-Tuning as a superior paradigm that breaks the convention of restricting offline data to SFT and online data to RFT, and provides the first comprehensive survey focusing specifically on the synchronization of data provenance.

Taihang Zhen, Guang Yang, Chenzhang Li et al. · 0 citations