openai-cookbook
knowledge_gpt
| openai-cookbook | knowledge_gpt | |
|---|---|---|
| 215 | 10 | |
| 55,954 | 1,516 | |
| 1.0% | - | |
| 9.5 | 8.2 | |
| 6 days ago | 4 months ago | |
| MDX | Python | |
| MIT License | MIT License |
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.
openai-cookbook
-
Question-Answer System Architectures using LLMs
A pretrained LLM is a closed-book system: It can only access information that it was trained on. With domain fine-tuning, the system manifests additional material. An early prototype of this technique was shown in this OpenAi cookbook: For the target domain, text was embedded using an API, and then when using the LLM, embeddings were retrieved using semantic similarity search to formulate an answer. Although this approach evolved to retrieval-augmented generation, its still a technique to adapt a Gen2 (2020) or Gen3 (2022) LLM into a question-answering system.
-
Ask HN: High quality Python scripts or small libraries to learn from
https://github.com/openai/openai-cookbook/blob/main/examples...
- Collection of notebooks showcasing some fun and effective ways of using Claude
- OpenAI Cookbook: Techniques to improve reliability
- OpenAI Cookbooks
-
How to fine tune vit/convnet to focus on the layout of the input room image and ignore other things ?
It sounds like you are trying to tweak embeddings for similarity search. Rather than fine-tune the model's layers, you may want to try training a linear transformation the existing model's output embedding. Openai has a cookbook on how to do that. You will need some data though - but I think you can try it with ~20 pieces of synthetically generated data.
-
Best base model 1B or 7B for full finetuning
tutorial from OpenAI https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb
-
Resources to learn ChatGPT and the OpenAI API
OpenAI Cookbook
- OpenAI Cookbook
-
Another Major Outage Across ChatGPT and API
OpenAI community repo with lots of examples: https://github.com/openai/openai-cookbook
knowledge_gpt
-
Nvidia's Chat with RTX is a promising AI chatbot that runs locally on your PC
From "Artificial intelligence is ineffective and potentially harmful for fact checking" (2023) https://news.ycombinator.com/item?id=37226233 : pdfgpt, knowledge_gpt, elasticsearch
pdfGPT: https://github.com/bhaskatripathi/pdfGPT :
> PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities.
GH "pdfgpt" topic: https://github.com/topics/pdfgpt
knowledge_gpt: https://github.com/mmz-001/knowledge_gpt
From https://news.ycombinator.com/item?id=39112014 : paperai
neuml/paperai:
- Are there any good free GPT-powered AI summarizer for very long text?
-
Tell me what AI product you wish existed or that you want to build, and I'll reply with resources, guides and tools you can use to build it
You could also do a basic version by writing the topics and info in a PDF, and then uploading that PDF to this site https://knowledgegpt.streamlit.app and then asking your questions using that
-
I've built a few tools on top of GPT-3.5 (text generation, q&a with embeddings). AMA about resources and AI dev stacks for building with OpenAI's APIs
Yep, that'd work too -- then you can use something like https://knowledgegpt.streamlit.app
-
Support KB Chatbot - how to train best?
I saw KnowledgeGPT praised earlier today for Q&A, that might be worth trying.
- KnowledgeGPT – Accurate answers and instant citations for your documents
-
Show HN: DocsGPT, open-source documentation assistant, fully aware of libraries
Yesterday, an undergraduate from Sri Lanka released KnowledgeGPT[1] which allows you to upload your docs and get answers from ChatGPT. It also uses FAISS so I'm wondering if DocsGPT is somehow related or inspired by the former.
It also appears the Github library for DocsGPT was created shortly after the release of KnowledgeGPT.
1: https://github.com/mmz-001/knowledge_gpt
What are some alternatives?
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
awesome-text-summarization - The guide to tackle with the Text Summarization
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
devdocs - API Documentation Browser
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
chatgpt_telegram_bot - 💬 Telegram bot with ChatGPT, Python-based, using OpenAI's API.
askai - Command Line Interface for OpenAi ChatGPT
vault-ai - OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.