AITreasureBox
openai-cookbook
AITreasureBox | openai-cookbook | |
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5 | 216 | |
374 | 56,195 | |
- | 1.5% | |
10.0 | 9.5 | |
4 days ago | 4 days ago | |
Ruby | MDX | |
GNU General Public License v3.0 only | MIT License |
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AITreasureBox
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I have reviewed over 1000+ AI tools for my directory. Here are the productivity tools I use personally.
Great list! I have also compiled a list of AI-related repos, including open-source repositories, tools, websites, papers, and tutorials. I hope it can be helpful for everyone to understand AI。 My Repos: https://github.com/superiorlu/AiTreasureBox
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Übersicht aller nützlichen Links für ChatGPT Prompt Engineering
AiTreasureBox
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ChatGPT really learns
Hi, this is my new repository: https://github.com/superiorlu/AiTreasureBox
- Ai Treasure Box
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AI TreasureBox!
Hi, this is my new repository: https://github.com/superiorlu/AiTreasureBox This repository has compiled the most commonly used AI tools and tutorials recently. It is hoped that these resources can be helpful to everyone. Stars and PRs are welcome!
openai-cookbook
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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.
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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
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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.
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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
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Resources to learn ChatGPT and the OpenAI API
OpenAI Cookbook
- OpenAI Cookbook
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Another Major Outage Across ChatGPT and API
OpenAI community repo with lots of examples: https://github.com/openai/openai-cookbook
What are some alternatives?
Awesome-LLMOps - An awesome & curated list of best LLMOps tools for developers
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
ChatGPT3-Free-Prompt-List - A free guide for learning to create ChatGPT3 Prompts
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
awesome-llm - Awesome series for Large Language Model(LLM)s
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Prompt-Engineering-Guide - 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
askai - Command Line Interface for OpenAi ChatGPT
megahal - MegaHAL is a learning chatterbot.
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]
Learn_Prompting - Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows