🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
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Updated
Oct 28, 2024 - MDX
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
What if GPT could help you notebook?
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
OpenAI MuseNet API Colab Notebook
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
A Jupyter python notebook to Execute Zapier Tasks with GPT completion via Langchain
A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, Reveal.js, plug-in, and macro replacement.
An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.
An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities
A collection of prompts for use with GPT-4 via ChatGPT, OpenAI API w/ Gradio frontend & notebook
Practical Jupyter notebooks from Andrew Ng and Isa Fulford's "ChatGPT Prompt Engineering for Developers" course on DeepLearning.AI.
Colab notebook for openai/glide-text2im.
All notebooks from the (currently) free course ChatGPT Prompt Engineering for Developers offered by DeepLearning.AI and OpenAI
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.
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