big-AGI
private-gpt
| big-AGI | private-gpt | |
|---|---|---|
| 8 | 131 | |
| 4,379 | 52,175 | |
| - | 3.2% | |
| 10.0 | 9.2 | |
| 6 days ago | 6 days ago | |
| TypeScript | Python | |
| MIT License | Apache License 2.0 |
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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.
big-AGI
- GPT-4 Turbo with Vision is a step backwards for coding
- LM Studio – Discover, download, and run local LLMs
- ChatGPT Voice Announced (By Greg Brockman)
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Is there an easy way to use the March 14th model ChatGPT-4 model?
You could run a local copy of big-agi and edit this file to use the dated model.
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Managing ChatGPT token/character limits tool
As ChatGPT counts tokens for both inputs and output, you'd have to be thoughtful for the input side as well so this is where the tool would come in handy within the same chat session. I don't think it remembers separate chat sessions so yeah without access to history, you'd need to either start a new chat session each time or setup your own ChatGPT instance and use your own OpenAI API token and be billed. For my own ChatGPT instance I use awesome app at https://github.com/enricoros/nextjs-chatgpt-app which has a demo on the readme page too.
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Make your own ChatGPT UI
nice, maybe you can make the initializing prompts in
https://github.com/enricoros/nextjs-chatgpt-app/blob/main/pa...
transparent to the user and even changeable by them.
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?
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Lobe Chat - LobeChat is a open-source, extensible (Function Calling), high-performance chatbot framework.It supports one-click free deployment of your private ChatGPT/LLM web application.
gpt4all - gpt4all: run open-source LLMs anywhere
chatgpt-demo - Minimal web UI for ChatGPT.
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/
fill - Generative fill in 3D.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
chatbot-ui - AI chat for every model.
ollama-webui - ChatGPT-Style WebUI for LLMs (Formerly Ollama WebUI) [Moved to: https://github.com/open-webui/open-webui]
llama.cpp - LLM inference in C/C++