scikit-llm
private-gpt
| scikit-llm | private-gpt | |
|---|---|---|
| 5 | 131 | |
| 2,923 | 51,882 | |
| - | 2.6% | |
| 7.4 | 9.2 | |
| 5 days ago | 4 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
scikit-llm
- Show HN: Scikit-LLM seamlessly integrate LLMs into scikit-learn
- FLaNK Stack Weekly 29 may 2023
- Scikit-LLM: Sklearn Meets Large Language Models
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Sci-Kit LLM: Open Source Package for Building LLMs into your SKLearn Workflow
Just found Sci-KitLLM on LinkedIn. It's an open source package for building LLM usage directly into your workflows that use sklearn. Seems the main use case is text classification atm. Very interesting looking, would love to hear people's opinions.
private-gpt
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
PrivateGPT is a nice tool for this. It's not exactly what you're asking for, but it gets part of the way there.
https://github.com/zylon-ai/private-gpt
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PrivateGPT exploring the Documentation
Further details available at: https://docs.privategpt.dev/api-reference/api-reference/ingestion
- Show HN: I made an app to use local AI as daily driver
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privateGPT VS quivr - a user suggested alternative
2 projects | 12 Jan 2024
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
Run https://github.com/imartinez/privateGPT
Then
make ingest /path/to/folder/with/files
Then chat to the LLM.
Done.
Docs: https://docs.privategpt.dev/overview/welcome/quickstart
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Mozilla "MemoryCache" Local AI
PrivateGPT repository in case anyone's interested: https://github.com/imartinez/privateGPT . It doesn't seem to be linked from their official website.
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What Is Retrieval-Augmented Generation a.k.a. RAG
I’m preparing a small internal tool for my work to search documents and provide answers (with references), I’m thinking of using GPT4All [0], Danswer [1] and/or privateGPT [2].
The RAG technique is very close to what I have in mind, but I don’t want the LLM to “hallucinate” and generate answers on its own by synthesizing the source documents. As stated by many others, we’re living in interesting times.
[0] https://gpt4all.io/index.html
[1] https://www.danswer.ai/
[2] https://github.com/imartinez/privateGPT
- LM Studio – Discover, download, and run local LLMs
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Ask HN: Local LLM Recommendation?
https://www.reddit.com/r/LocalLLaMA/comments/14niv66/using_a...
https://github.com/imartinez/privateGPT
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Run ChatGPT-like LLMs on your laptop in 3 lines of code
I've been playing around with https://github.com/imartinez/privateGPT and https://github.com/simonw/llm and wanted to create a simple Python package that made it easier to run ChatGPT-like LLMs on your own machine, use them with non-public data, and integrate them into practical applications.
This resulted in Python package I call OnPrem.LLM.
In the documentation, there are examples for how to use it for information extraction, text generation, retrieval-augmented generation (i.e., chatting with documents on your computer), and text-to-code generation: https://amaiya.github.io/onprem/
Enjoy!
What are some alternatives?
trogon - Easily turn your Click CLI into a powerful terminal application
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
DB-GPT - AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
gpt4all - gpt4all: run open-source LLMs anywhere
datalakeStudio - Python+VueJS application to load, explore, combine,transform and deliver data
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
fastgron - High-performance JSON to GRON (greppable, flattened JSON) converter
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
Deepstream - yolov5, yolov8, segmenations, face, pose, keypoints on deepstream
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
jsonformer - A Bulletproof Way to Generate Structured JSON from Language Models
llama.cpp - LLM inference in C/C++