guidance VS privateGPT

Compare guidance vs privateGPT and see what are their differences.

guidance

A guidance language for controlling large language models. (by guidance-ai)

privateGPT

Interact with your documents using the power of GPT, 100% privately, no data leaks [Moved to: https://github.com/zylon-ai/private-gpt] (by imartinez)
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guidance privateGPT
22 1
16,895 50,198
5.3% -
9.8 -
3 days ago 6 days ago
Jupyter Notebook Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

guidance

Posts with mentions or reviews of guidance. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.

privateGPT

Posts with mentions or reviews of privateGPT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-23.
  • PrivateGPT exploring the Documentation
    2 projects | dev.to | 23 Mar 2024
    # install developer tools xcode-select --install # create python sandbox mkdir PrivateGTP cd privateGTP/ python3 -m venv . # actiavte local context source bin/activate # privateGTP uses poetry for python module management privateGTP> pip install poetry # sync privateGTP project privateGTP> git clone https://github.com/imartinez/privateGPT # enable MPS for model loading and processing privateGTP> CMAKE_ARGS="-DLLAMA_METAL=on" pip install --force-reinstall --no-cache-dir llama-cpp-python privateGTP> cd privateGPT # Import configure python dependencies privateGTP> poetry run python3 scripts/setup # launch web interface to confirm operational on default model privateGTP> python3 -m private_gpt # navigate safari browser to http://localhost:8001/ # To bulk import documentation needed to stop the web interface as vector database not in multi-user mode privateGTP> [control] + "C" # import some PDFs privateGTP> curl "https://docs.intersystems.com/irislatest/csp/docbook/pdfs.zip" -o /tmp/pdfs.zip privateGTP> unzip /tmp/pdfs.zip -d /tmp # took a few hours to process privateGTP> make ingest /tmp/pdfs/pdfs/ # launch web interface again for query documentation privateGTP> python3 -m private_gpt

What are some alternatives?

When comparing guidance and privateGPT you can also consider the following projects:

lmql - A language for constraint-guided and efficient LLM programming.

semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps

langchain - 🦜🔗 Build context-aware reasoning applications

NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

outlines - Structured Text Generation

localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

localLLM_langchain - Local LLM Agent with Langchain

llama-cpp-python - Python bindings for llama.cpp

llama.cpp - LLM inference in C/C++

Microsoft-Activation-Scripts - A collection of scripts for activating Microsoft products using HWID / KMS38 / Online KMS activation methods with a focus on open-source code, less antivirus detection and user-friendliness.

ollama - Get up and running with Llama 2, Mistral, Gemma, and other large language models.