privateGPT
Interact with your data in an execution only environment without using the internet, substantially reducing data security/vulnerability issues created via connection t...
Tags：Paper and LLMsPrivateGPTPricing Type
- Pricing Type: Open Source
- Price Range Start($): 0
Key Points: GitHub privateGPT
GitHub link: https://github.com/imartinez/privateGPT
Introduce privateGPT
The “privateGPT” project allows users to interact privately with their documents using the power of GPT (Generative Pre-trained Transformer) language models.
It ensures 100% privacy by not allowing any data to leave the user’s execution environment. Users can ingest documents, ask questions without an internet connection, and receive answers based on the content of their documents.
The project provides instructions on setting up the environment, ingesting datasets, and running queries locally.
It utilizes LangChain, GPT4All, and LlamaCpp for document processing and embedding creation. The project is not production-ready but serves as a test for a fully private question-answering solution.
Interact with your data in an execution only environment without using the internet, substantially reducing data security/vulnerability issues created via connection to the web using a combination of LangChainAI + llama.cpp
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LongLLaMA is a large language model designed to handle very long text contexts, up to 256,000 tokens. It's based on OpenLLaMA and uses a technique called Focused Transformer (FoT) for training. The repository provides a smaller 3B version of LongLLaMA for free use. It can also be used as a replacement for LLaMA models with shorter contexts.
