How to add code interpreter to Llama 3

Llama 3 is highlighted as a prominent open-source model that has been equipped with code interpreter capabilities for tasks like data analysis and visualization. This process involves using the E2B Code Interpreter SDK to create a secure cloud sandbox environment powered by Firecracker, which runs a Jupyter server accessible by the model. The setup includes installing necessary packages, configuring API keys, and defining a system prompt for interaction with Llama 3. The guide details the creation of a code interpreter using the E2B SDK, which executes Python code within Jupyter Notebook cells, and explains how to connect this interpreter with Llama 3 to process user requests. The integration allows for dynamic execution of Python code to generate visualizations and other outputs in a secure and isolated environment.

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