A large-scale asynchronous reinforcement learning system for training LLM reasoning and agentic models, with RL training for black-box agents via a base_url swap.
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#machine-learning-systems
Curated GitHub repositories related to machine-learning-systems, with AI summaries and key stats.
A large-scale asynchronous reinforcement learning system for training LLM reasoning and agentic models, with RL training for black-box agents via a base_url swap.
Triton-based kernels and training-ready layers for linear attention, sparse attention, state space and hybrid LLM architectures.