How to Install and Uninstall debgpt Package on Kali Linux
Last updated: November 23,2024
1. Install "debgpt" package
Here is a brief guide to show you how to install debgpt on Kali Linux
$
sudo apt update
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$
sudo apt install
debgpt
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2. Uninstall "debgpt" package
Please follow the instructions below to uninstall debgpt on Kali Linux:
$
sudo apt remove
debgpt
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the debgpt package on Kali Linux
Package: debgpt
Version: 0.4.94
Installed-Size: 125
Maintainer: Debian Deep Learning Team
Architecture: all
Depends: python3-bs4, python3-openai, python3-prompt-toolkit, python3-requests, python3-rich, python3-tomli, python3:any
Recommends: python3-zmq, git, tldr, man-db
Suggests: python3-torch | python3-torch-cuda | python3-torch-rocm, python3-transformers
Size: 33604
SHA256: ad127433a9c12d0eff6712abe17d0389ff59ef890357202a6d27fa1cc8530c54
SHA1: dfec8e0b93c6ef05fbdefbafd02fb388343a0105
MD5sum: 63b6297edb0e7e3ead73ab7250a1b721
Description: Chatting LLM with Debian-Specific Knowledge
Large language models (LLMs) are newly emerged tools, which are capable of
handling tasks that traditional software could never achieve, such as writing
code based on the specification provided by the user. In this tool, we
attempt to experiment and explore the possibility of leveraging LLMs to aid
Debian development, in any extent.
.
Essentially, the idea of this tool is to gather some pieces of
Debian-specific knowledge, combine them together in a prompt, and then send
them all to the LLM. This tool provides convenient functionality for
automatically retrieving information from BTS, buildd, Debian Policy, system
manual pages, tldr manuals, Debian Developer References, etc. It also provides
convenient wrappers for external tools such as git, where debgpt can
automatically generate the git commit message and commit the changes for you.
.
This tool supports multiple frontends, including OpenAI and ZMQ.
The ZMQ frontend/backend are provided in this tool to make it self-contained.
Description-md5:
Homepage: https://salsa.debian.org/deeplearning-team/debgpt
Section: python
Priority: optional
Filename: pool/main/d/debgpt/debgpt_0.4.94_all.deb
Version: 0.4.94
Installed-Size: 125
Maintainer: Debian Deep Learning Team
Architecture: all
Depends: python3-bs4, python3-openai, python3-prompt-toolkit, python3-requests, python3-rich, python3-tomli, python3:any
Recommends: python3-zmq, git, tldr, man-db
Suggests: python3-torch | python3-torch-cuda | python3-torch-rocm, python3-transformers
Size: 33604
SHA256: ad127433a9c12d0eff6712abe17d0389ff59ef890357202a6d27fa1cc8530c54
SHA1: dfec8e0b93c6ef05fbdefbafd02fb388343a0105
MD5sum: 63b6297edb0e7e3ead73ab7250a1b721
Description: Chatting LLM with Debian-Specific Knowledge
Large language models (LLMs) are newly emerged tools, which are capable of
handling tasks that traditional software could never achieve, such as writing
code based on the specification provided by the user. In this tool, we
attempt to experiment and explore the possibility of leveraging LLMs to aid
Debian development, in any extent.
.
Essentially, the idea of this tool is to gather some pieces of
Debian-specific knowledge, combine them together in a prompt, and then send
them all to the LLM. This tool provides convenient functionality for
automatically retrieving information from BTS, buildd, Debian Policy, system
manual pages, tldr manuals, Debian Developer References, etc. It also provides
convenient wrappers for external tools such as git, where debgpt can
automatically generate the git commit message and commit the changes for you.
.
This tool supports multiple frontends, including OpenAI and ZMQ.
The ZMQ frontend/backend are provided in this tool to make it self-contained.
Description-md5:
Homepage: https://salsa.debian.org/deeplearning-team/debgpt
Section: python
Priority: optional
Filename: pool/main/d/debgpt/debgpt_0.4.94_all.deb