What is Private GPT

The main objective of Private GPT is to Interact privately with your documents using the power of GPT, 100% privately, with no data leaks. This is one of the most popular repos, with 34k+ stars.

PrivateGPT is a tool that allows you to train and use large language models (LLMs) on your own data. LLMs are powerful AI models that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

There are many reasons why you might want to use privateGPT. For example, you might want to use it to:

Generate text that is tailored to your specific needs

Translate languages more accurately

Write creative content that is more original

Answer your questions in a more informative way

PrivateGPT gives you these benefits:

Privacy: PrivateGPT allows you to train LLMs on your own data, without having to worry about your data being shared with others.

Control: PrivateGPT gives you full control over the training process, so you can ensure that your LLM is trained on the data that you want it to be trained on.

LLMs can be expensive to train and require a lot of computing resources. PrivateGPT solves these problems by allowing you to train LLMs on your own data, without having to worry about the cost or resources.

Below are few easy steps for this

python -m venv venv 

source venv/bin/activate

git clone https://github.com/imartinez/privateGPT.git

cd privateGPT

pip3 install -r requirements.txt 

mkdir models

cd models

wget https://gpt4all.io/models/ggml-gpt4all-j-v1.3-groovy.bin

cd ..

mv example.env .env

vi .env 

Add the below 

PERSIST_DIRECTORY=db

MODEL_TYPE=GPT4All

MODEL_PATH=models/ggml-gpt4all-j-v1.3-groovy.bin

EMBEDDINGS_MODEL_NAME=all-MiniLM-L6-v2

MODEL_N_CTX=1000

python ingest.py

python privateGPT.py

Thats all !!! 

References:

https://generativeai.pub/unlocking-data-privacy-how-to-build-your-private-enterprise-data-app-with-private-gpt-and-llama-2-eb50d032d145