Llama 3.1 with code interpreter in Python

Llama 3.1, Meta's latest open-source model, offers advanced features like multi-step reasoning, integrated tool search, and a code interpreter, available in sizes of 8B, 70B, and 405B. The model is particularly competitive in the 405B version, excelling in general knowledge, math, tool use, and multilingual translation. The text explores Llama 3.1's capabilities in code generation and execution, offering two main approaches: using built-in function calling or manually handling markdown code blocks. The built-in function calling allows integration of tools such as Brave Search and Wolfram Alpha, but may struggle with larger code generation. The manual approach, though more complex, is versatile and not limited to Llama 3.1. Both methods leverage the E2B Code Interpreter SDK for executing AI-generated code securely within a cloud sandbox. A step-by-step tutorial demonstrates using Llama 3.1 with the E2B SDK to analyze socioeconomic data from a CSV file and generate a chart, highlighting the model's practical application in data analysis tasks.