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Trajectory Releases a Concurrent Multi-LoRA Training Stack for Continual Learning, Reporting a 2.81× Experiment-Throughput Gain

Low Severity Global
Date Occurred May 31, 2026 02:04 UTC
Event Type AI News
Source MarkTechPost
Recorded May 31, 2026
Full Description

<p>Trajectory, working with UC Berkeley Sky Lab and Anyscale, built a concurrent multi-LoRA training stack for continual learning. It maps each RL experiment to a dedicated LoRA adapter on an always-hot engine, reporting a 2.81× end-to-end experiment-throughput gain over a single-tenant baseline with no reward regression. The code is open-sourced in NovaSky-AI/SkyRL.</p> <p>The post <a href="https://www.marktechpost.com/2026/05/30/trajectory-releases-a-concurrent-multi-lora-training-stack-for-co

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Event Metadata
  • ID #4901
  • Type AI News
  • Region Global
  • Severity Low
  • Indexed May 31, 2026