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GitHub - silvanmelchior/IncognitoPilot: An AI code interpreter for sensitive data, powered by GPT-4 or Llama 2.

Aug 18, 2023 - github.com
Incognito Pilot is an AI code interpreter designed for sensitive data, powered by GPT-4 or Llama 2. It combines a Large Language Model (LLM) with a Python interpreter, allowing it to run code and execute tasks locally, making it ideal for working with sensitive data without uploading it to the cloud. It also includes an approval mechanism that separates local data from remote services.

The software offers a range of features, including data analysis, file conversion, and internet access for data downloads. It can be installed using a GPT model via OpenAI's API, and users can interact with the model through a chat interface. The Python interpreter stops after 30 seconds by default, but this can be changed by setting the environment variable `INTERPRETER_TIMEOUT`. Users can also containerize their own dependencies with Incognito Pilot.

Key takeaways:

  • Incognito Pilot is an AI code interpreter that combines a Large Language Model with a Python interpreter to run code and execute tasks. It can work with sensitive data without uploading it to the cloud.
  • It offers features like data analysis, file conversion, and internet access for data download. It can be installed using a GPT model via OpenAI's API or Llama 2.
  • It has an approval mechanism in the UI that separates local data from remote services. The Python interpreter stops after 30 seconds by default, but this can be changed by setting the environment variable INTERPRETER_TIMEOUT.
  • While it has its limitations compared to ChatGPT Code Interpreter, it offers advantages like running code in multiple rounds, having pre-installed dependencies, and running code in a sandbox for protection.
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