Introducing LLM Sandbox: Securely Execute LLM-Generated Code with Ease

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Introducing LLM Sandbox: Securely Execute LLM-Generated Code with Ease
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LLM Sandbox: a secure, isolated environment to run LLM-generated code using Docker. Ideal for AI researchers, developers, and hobbyists.

Hey mate, I recently tried to add something like the ChatGPT Code Interpreter plugin to my LLM application. I found many libraries and open-source options available, but they seemed a bit complicated to set up, and some required credits for cloud computing. So, I decided to develop my own library for this feature, which can run locally or on my private cloud.

So, I decided to develop my own library for this feature, which can run locally or on my private cloud. Let me introduce you to LLM Sandbox, the simplest and most effective way to safely execute code generated by large language models in a secure, isolated environment. Whether you’re an AI researcher, developer, or hobbyist, LLM Sandbox makes it easy to integrate code interpreters into your LLM applications without worrying about the security and stability of your host system.

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