localGPT
askai
localGPT | askai | |
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29 | 1,753 | |
19,193 | 86 | |
- | - | |
8.6 | 10.0 | |
1 day ago | over 1 year ago | |
Python | TypeScript | |
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.
localGPT
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Show HN: IncarnaMind-Chat with your multiple docs using LLMs
I think local LLMs are great for tinkerers, and with quantization can run on most modern PCs. I am not comfortable sending over my personal data over to OpenAI/Anthropic, so I've been playing around with https://github.com/PromtEngineer/localGPT/, GPT4All, etc. which keep the data all local.
Sliding window chunking, RAG, etc. seem more sophisticated than the other document LLM tools, so I would love to try this out if you ever add the ability to run LLMs locally!
- FLaNK Stack Weekly for 21 August 2023
- PromtEngineer/localGPT: Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents?
localGPT can parse PDF into embeddings, see <https://github.com/PromtEngineer/localGPT>.
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Which platform or model to use for fine tuning pdf files ?
This is going so fast that it feels like a new thing pops up every day. LocalGPT seems to have gotten a lot of traction though: https://github.com/PromtEngineer/localGPT
- Any successful guides on scanning internal pages and build a virtual assistant using LLAMA?
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CUDA Out of memory with Nvidia A2 need help
i am currently trying to use localGPT (https://github.com/PromtEngineer/localGPT) for a project and i encountered a problem.
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Using Local LLMs for things besides chat?
I tinker a lot with electronics. I have put datasheets for components, documentation for development boards, documentation for software libraries, etc into a database with localGPT.
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Question regarding model compatibility for Alpaca Turbo
There are a bunch of other methods to improve quality and performance like tree-of-thought-llm, connecting a LLM to a database or have it review its own output.
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Tools for ingesting .pdf files locally for training/fine-tuning?
Check out local gpt on git hub. I tried but it had slow response for me. Other developers are fine. https://github.com/PromtEngineer/localGPT
askai
- OpenAI Bought Chatgpt.com
- The ChatGPT URL have changed
- Chat.openai.com now redirects (me) to chatgpt.com
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Unofficial ChatGPT API
This API allows you to interact with ChatGPT programmatically, and I've built some cool agents on top of it. Check out the code and let me know what you think! :
ChatGPT unofficial API :
This project is a Node.js application that interacts with the ChatGPT conversational AI model using Puppeteer, a Node.js library for automating web browsers.
Files chatgptv1.js: This file contains the main logic for the ChatGPT bot, including methods for initializing the browser, sending messages, receiving replies, and handling errors.
bart.js: This file contains a function that uses the Cloudflare API to summarize the conversation history when an error occurs, in order to resume the conversation.
twochatbotsconv.js: This file is simple use of the API , which creates two instances of the ChatGPT class, initiates a conversation between them, and saves the conversation history to a file.
.env: This file contains the API token for the Cloudflare API, which is used in the bart.js file.
Dependencies :
puppeteer: A Node.js library for automating web browsers. fs: The built-in file system module in Node.js. winston: A logging library for Node.js. crypto: The built-in cryptography module in Node.js. axios: A popular HTTP client library for Node.js. dotenv: A zero-dependency module that loads environment variables from a .env file.
Usage:
Install the dependencies by running npm install in your project directory. Create a .env file in the project directory and add your Cloudflare API token:
API_TOKEN=YourfreeCloudFlareAPIToken In your code, create a new instance of the ChatGPT class and use the sendMessage and getReply methods to interact with the ChatGPT model:
const ChatGPT = require('./chatgptv1');
const chatgpt = new ChatGPT(); await chatgpt.initializeBrowser();
await chatgpt.sendMessage('Hello, ChatGPT!'); const reply = await chatgpt.getReply(); console.log(reply);
await chatgpt.closeBrowser(); If an error occurs during the conversation, the handleError method will attempt to save the conversation history and resume the conversation using the summarized context.
Before Running :
run Google chrom in the debug mode using 9220 port , run : google-chrome-stable --remote-debugging-port=9222
Customization :
You can customize the behavior of the ChatGPT bot by passing options to the ChatGPT constructor:
chatbotUrl: The URL of the ChatGPT interface (default: 'https://chat.openai.com/'). headless: Whether to run the browser in headless mode (default: false). saveConversationCallback: A callback function that will be called with the conversation summary and the conversation file name when an error occurs.
License:
This project is licensed under the MIT License.
- It's a shame – chat.openai.com redirect to chatgpt.com is broken
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Building a Basic Forex Rate Assistant Using Agents for Amazon Bedrock
After wrestling with it for a bit and eventually giving up, I instead turned to ChatGPT to see if it is smart enough for the task. With my free plan, I asked ChatGPT 3.5 the following:
- Learn to ask for help
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How to build a custom GPT: Step-by-step tutorial
Go to chat.openai.com and log in
- Chat.openai.com no longer requires login
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Integrating Strapi with ChatGPT and Next.js
In this tutorial, we will learn how to use Strapi, ChatGPT, and Next.js to build an app that displays recipes using AI.
What are some alternatives?
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
ChatGPT - 🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
privateGPT - Interact with your documents using the power of GPT, 100% privately, no data leaks [Moved to: https://github.com/zylon-ai/private-gpt]
gpt-4chan-model
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
openai-cookbook - Examples and guides for using the OpenAI API
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
ai-cli - Get answers for CLI commands from ChatGPT right from your terminal
llama_index - LlamaIndex is a data framework for your LLM applications
KoboldAI-Client
quivr - Your GenAI Second Brain 🧠 A personal productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Local & Private alternative to OpenAI GPTs & ChatGPT powered by retrieval-augmented generation.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.