☁️AWS Machine Learning Blog•Stalecollected in 14m
Train CodeFu-7B on SageMaker with veRL & Ray
#distributed-training#rl-optimizationamazon-sagemakercodefu-7bverlraysagemaker
💡Master scalable RL training for coding models on SageMaker—full tutorial inside
⚡ 30-Second TL;DR
What Changed
Train CodeFu-7B using Group Relative Policy Optimization (GRPO)
Why It Matters
Simplifies large-scale RL training for coding LLMs on AWS, boosting productivity for ML engineers handling distributed workloads.
What To Do Next
Launch a SageMaker training job with Ray and veRL to experiment with GRPO on your LLM.
Who should care:Developers & AI Engineers
Key Points
- •Train CodeFu-7B using Group Relative Policy Optimization (GRPO)
- •veRL enables RL algorithms extension for LLMs with Ray integration
- •SageMaker manages distributed Ray clusters for scalable training
- •Includes data prep, setup, and observability tools
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Original source: AWS Machine Learning Blog ↗
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