PrivateGPT is a new AI language model that is designed to be both powerful and secure. It is based on the OpenAI GPT-3 language model, but it has been modified to make it more private. PrivateGPT does not store any of your data on its servers, and it does not track your usage. This makes it a great choice for businesses and individuals who are concerned about privacy.

The source code of PrivateGPT is available on GitHub.

PrivateGPT is also very powerful. It can generate text, translate languages, and answer your questions in an informative way. It can also be used to create interactive AI dialogues. This makes it a valuable tool for a variety of applications, including customer service, education, and research.

Benefits of Using PrivateGPT

There are many benefits to using PrivateGPT. Some of the most important benefits include:

• Privacy: PrivateGPT does not store any of your data on its servers, and it does not track your usage. This makes it a great choice for businesses and individuals who are concerned about privacy.
• Security: PrivateGPT is designed to be secure. It uses a variety of security measures to protect your data, including encryption and authentication.
• Power: PrivateGPT is a powerful AI language model. It can generate text, translate languages, and answer your questions in an informative way. It can also be used to create interactive AI dialogues.
• Flexibility: PrivateGPT is a flexible tool. It can be used for a variety of applications, including customer service, education, and research.

Environment Setup

In order to set your environment up to run the code here, first install all requirements:

pip install -r requirements.txt

Then, download the 2 models and place them in a directory of your choice.

• LLM: default to ggml-gpt4all-j-v1.3-groovy.bin. If you prefer a different GPT4All-J compatible model, just download it and reference it in your .env file.
• Embedding: default to ggml-model-q4_0.bin. If you prefer a different compatible Embeddings model, just download it and reference it in your .env file.

Rename example.env to .env and edit the variables appropriately.

MODEL_TYPE: supports LlamaCpp or GPT4All
PERSIST_DIRECTORY: is the folder you want your vectorstore in
LLAMA_EMBEDDINGS_MODEL: (absolute) Path to your LlamaCpp supported embeddings model
MODEL_PATH: Path to your GPT4All or LlamaCpp supported LLM
MODEL_N_CTX: Maximum token limit for both embeddings and LLM models

Note: because of the way langchain loads the LLAMA embeddings, you need to specify the absolute path of your embeddings model binary. This means it will not work if you use a home directory shortcut (eg. ~/ or $HOME/).

How to Use PrivateGPT

Once you have installed PrivateGPT, you can start using it right away.

To generate text, simply follow these instructions. PrivateGPT will then generate text based on your prompt. You can also translate languages, answer questions, and create interactive AI dialogues.

Step 1:- Place all of your .txt, .pdf, or .csv files in the source_documents directory.

Step 2:- Run the following command to ingest all of the data:

python ingest.py

Step 3:- To ask a question, run the following command:

python privateGPT.py

Step 4:- Enter your query and wait for the answer.

Step 5:- To exit the script, type “exit”.

Explanation

• LangChain is a tool that allows you to run an entire machine-learning pipeline locally, without any data leaving your environment.
• The ingest.py script uses LangChain tools to parse documents and create embeddings locally using LlamaCppEmbeddings. It then stores the results in a local vector database using Chroma vector store.
• The privateGPT.py script uses a local LLM based on GPT4All-J or LlamaCpp to understand questions and create answers. The context for the answers is extracted from the local vector store using a similarity search to locate the right piece of context from the docs.
• The GPT4All-J wrapper was introduced in LangChain 0.0.162.

Conclusion

PrivateGPT is a powerful and secure AI language model. It is a great choice for businesses and individuals who are concerned about privacy. PrivateGPT is also very versatile and can be used for a variety of applications.

Here are some additional details about PrivateGPT:

• PrivateGPT is based on the OpenAI GPT-3 language model, which is one of the most powerful language models in the world.
• PrivateGPT does not store any of your data on its servers, and it does not track your usage. This makes it a great choice for businesses and individuals who are concerned about privacy.
• PrivateGPT is designed to be secure. It uses a variety of security measures to protect your data, including encryption and authentication.
• PrivateGPT is a flexible tool. It can be used for a variety of applications, including customer service, education, and research.

If you are looking for a powerful and secure AI language model, then PrivateGPT is a great option.