Artwork

Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

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

3:15
 
Share
 

Manage episode 428704796 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/introducing-llm-sandbox-securely-execute-llm-generated-code-with-ease.
LLM Sandbox: a secure, isolated environment to run LLM-generated code using Docker. Ideal for AI researchers, developers, and hobbyists.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llm, #langchain, #llamaindex, #ai-agent, #llm-sandbox, #ai-development, #ai-tools, #code-interpreter, and more.
This story was written by: @vndee. Learn more about this writer by checking @vndee's about page, and for more stories, please visit hackernoon.com.
LLM Sandbox is a lightweight and portable environment designed to run LLM-generated code in a secure and isolated manner using Docker containers. With its easy-to-use interface, you can set up, manage, and execute code within a controlled Docker environment. Support for multiple programming languages, including Python, Java, JavaScript, C++, Go, and Ruby.

  continue reading

316 episodes

Artwork
iconShare
 
Manage episode 428704796 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/introducing-llm-sandbox-securely-execute-llm-generated-code-with-ease.
LLM Sandbox: a secure, isolated environment to run LLM-generated code using Docker. Ideal for AI researchers, developers, and hobbyists.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llm, #langchain, #llamaindex, #ai-agent, #llm-sandbox, #ai-development, #ai-tools, #code-interpreter, and more.
This story was written by: @vndee. Learn more about this writer by checking @vndee's about page, and for more stories, please visit hackernoon.com.
LLM Sandbox is a lightweight and portable environment designed to run LLM-generated code in a secure and isolated manner using Docker containers. With its easy-to-use interface, you can set up, manage, and execute code within a controlled Docker environment. Support for multiple programming languages, including Python, Java, JavaScript, C++, Go, and Ruby.

  continue reading

316 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide