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.

A collection of Python notebooks with tutorials for the LangChain Library.

Whisper2Summarize is an application that uses Whisper for audio processing and GPT for summarization. It generates summaries of audio transcripts quickly and accurately, making it ideal for a variety of use cases such as note-taking, research, and content creation.

Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.

Wolfram Language (aka Mathematica) paclet that provides a notebooks style with OpenAI interaction cells.

Build and deploy AI-driven assistants with our OpenAI Assistants Template. This tutorial provides a hands-on approach to using OpenAI's Assistant API, complete with code modules, interactive Jupyter Notebook examples, and best practices to get you started on creating intelligent conversational agents.

A Tool that Allows You Run PyTest within Jupyter Notebook Cells

This repository acts as an archive of the owners experience working with large language models neatly presented within jupyter notebooks

Jupyter Notebook of some cool prompting techniques that are effective for your application

Basic repository to store notebooks and scripts for a course on OpenAI

A Concise Notebook to Summarize Your iMessage Conversations

Jupyter notebooks for the short course "ChatGPT prompt engineering"

A Python notebook showcasing various usecases of Langchain with LLMs such as OpenAI.

Jupyer notebook allowing for easy access to GPT-3.5 and GPT-4 APIs.

Enhance your Jupyter notebook editing experience with an AI powered companion for adding new cells.

This repo includes some practice examples using openAI [ChatGPT-3, DALL-E], Python, Jupyter Notebook, Poetry

Translate Markdown files from one language to another using OpenAI's API while retaining original formatting. This Jupyter notebook tokenizes input text, splits into chunks, translates with OpenAI, and reconstructs output to preserve Markdown structure. Useful for localizing documentation, articles, books, and other long-form Markdown content.

This project helps to interact with OpenAI in a very simple way. Very handy for Jupyter notebooks.

A basic code interpreter tool implementation to work similarly to the ChatGPT Code Interpreter using jupyter notebooks

This Notebook contains the code for Fine tuning OpenAI GPT-3.5-Turbo API to specialize on answering the algerians BAC students questions within the Algeria Bac Context !!!