repoGitHubTrust 82 · PrimaryPublished 24d agoLive · 23d ago

inclusionAI/Awex

A high-performance RL training-inference weight synchronization framework, designed to enable second-level parameter updates from training to inference in RL workflows

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PossiblePossibly related (embedding) · 50%A trained fast-weight memory: a 3M-param transformer installs never-trained rules at inference, forward-only — where test-time training transfers nothing (single RTX 3090, fully reproducible) [R] →
PossiblePossibly related (embedding) · 48%Monitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch →

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newsA trained fast-weight memory: a 3M-param transformer installs never-trained rules at inference, forward-only — where test-time training transfers nothing (single RTX 3090, fully reproducible) [R]newsMonitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch

Related across the graph

newsMonitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch newsA trained fast-weight memory: a 3M-param transformer installs never-trained rules at inference, forward-only — where test-time training transfers nothing (single RTX 3090, fully reproducible) [R]

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