🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
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Updated
Oct 13, 2025 - MDX
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases
Jupyter Notebook for https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
A collection of prompts for use with GPT-4 via ChatGPT, OpenAI API w/ Gradio frontend & notebook
Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.
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.
All notebooks from the (currently) free course ChatGPT Prompt Engineering for Developers offered by DeepLearning.AI and OpenAI
Jupyter Raku Kernel that produces LLM-aware notebooks.
Jupyter Notebook exploring Sentiment Analysis with ChatGPT
Turn data into meaningful insights quickly using Promptbooks, our collaborative AI-powered notebooks for data analysis.
🧠 Workshop Notebook and assets for the Anthropic Hackathon
This repository is a collection of Jupyter notebooks I've managed to collect from exercises from various courses and online sources.
Turn data into meaningful insights quickly using Promptbooks, our collaborative AI-powered notebooks for data analysis.
Repositorio con notebooks sencillos para aprender a usar los servicios de AIML de AWS y explorar las tecnicas de prompt engineering
A guide to writing effective AI prompts for better results
This repository contains Jupyter notebooks to explore and utilize OpenAI's Large Language Models (LLMs) for various applications, including chatbots, retrieval-augmented generation, text generation, prompt engineering, and vector embedding. These notebooks provide a comprehensive toolkit for working with OpenAI models in diverse contexts.
Experiments in evaluating various prompting strategies and LLM performance generally
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Sample code and notebooks for Generative AI on Google Cloud, including Gemini
A collection of Jupyter notebook experiments and applications centered around Generative AI with LLMs.
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