This article details a method for training large language models (LLMs) for code generation using a secure, local WebAssembly-based code interpreter and reinforcement learning with Group Relative Policy Optimization (GRPO). It covers the setup, training process, evaluation, and potential next steps.
A Microsoft engineer demonstrates how WebAssembly modules can run alongside containers in Kubernetes environments, offering benefits like reduced size and faster cold start times for certain workloads.
