Tagged articles

multi-model fusion

3 articles · Page 1 of 1

Jul 13, 2026 · Artificial Intelligence

Redesigning Agent Infrastructure to Support 40K+ Collaborative Agents and Multi‑Model Teams

The article analyzes the shift from large‑model AI to agent‑centric workloads, highlighting the need for massive CPU resources, native liquid‑cooled server racks, and high‑performance SD200 supernodes that deliver sub‑5 ms token latency, while also detailing multi‑model fusion benchmarks and future data‑center power trends.

AI agentsCPU computeSupernode

0 likes · 14 min read

Redesigning Agent Infrastructure to Support 40K+ Collaborative Agents and Multi‑Model Teams

Data Party THU

Apr 26, 2026 · Artificial Intelligence

Meta-Encoder Unleashes Pathology Model Cluster Power, Sets New Records on International Datasets

Researchers from Shanghai Jiao Tong University introduce the Meta‑Encoder, a unified integration framework that dynamically combines multiple pathological foundation models, achieving superior cancer detection performance across diverse tasks and datasets while maintaining low computational cost.

Cancer DetectionComputational EfficiencyMeta-Encoder

0 likes · 8 min read

Meta-Encoder Unleashes Pathology Model Cluster Power, Sets New Records on International Datasets

AsiaInfo Technology: New Tech Exploration

May 19, 2025 · Artificial Intelligence

How WASP Generates High‑Quality DP Synthetic Data with Multi‑Model Collaboration

WASP is a privacy‑preserving framework that fuses multiple pretrained language models through a weighted Top‑Q voting scheme to synthesize differential‑private data, dramatically improving downstream task performance even when only a few private samples are available, and it scales to federated settings.

Differential Privacyfederated learninglarge language models

0 likes · 19 min read

How WASP Generates High‑Quality DP Synthetic Data with Multi‑Model Collaboration