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JAM - jam assist me! :

JAM stands for Jam Assist Me a AI assistant developed as a research product of OX - AI to provide an AI assistant for Linux machines and servers.

It incorporates technologies such as Speech Recognition, NLP, and TTS for its operational use. It is built on top of LLM and GPT, forming the core system

the core knowledge of the system Jam-gpt is not yet developed will be updated soon

Jam-gpt is a library to build and train fine tune llm model from scratch that designed to customize for requirement

the knowledge model of the Jam-AI will be based on the jam-gpt llm models

check out : Jam-gpt

Instalation :

use pip to install the lok-lib package in your local site-packages directory

pip install git+https://github.com/Lokeshwaran-M/lok-lib
git clone https://github.com/Lokeshwaran-M/Jam-AI
cd Jam-AI

Run :

python jam-ai.py 2> errors.log

note : to get responces back you need gpt models that needs to be genetated seprately using lok-lib library model_gen module which uses gpt-2 .documentation on the process will be updated soon

Jam Clients :

Jam web client :

by jam web client we can access jam in browser using jam api

Jam app client :

by jam app client provides android access using jam api

Requirement :

use pip and download the lok-lib in your local site-packages directory

pip install git+https://github.com/Lokeshwaran-M/lok-lib

ffmpeg audio

# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg

# on Arch Linux
sudo pacman -S ffmpeg

# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg

# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg

# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg

Contribution :

for contribution guidelines and terms and condition to contribute refere jam-contribution by rasing the PR you are accepting the terms and condition

Any form of contribution is accepted here

Submitting :    
    Issues  
    pull requests   
    feature requests    
    bug reports  
    documentation   

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Jam-AI a personal AI voice-controlled assistant using technologies such as Speech Recognition, NLP, TTS, and stuffs

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