Prompts, notebooks, and tools for generative pre-trained transformers.

Implementing neural networks from scratch for a deeper understanding of concepts, featuring a Jupyter notebook with derivative-based implementations.

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These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling

Jupyter Notebook notes on Andrej Karpathy's tutorial series, "Neural Networks: Zero to Hero."

QA With Jupyter NoteBook(.ipynb) powered by LangChain & Anthropic

Image Captioning using ViT and GPT. Notebook version in the following link

QuillGPT is an implementation of the GPT decoder block based on the architecture from Attention is All You Need paper by Vaswani et. al. in PyTorch. Additionally, this repository contains two pre-trained models — Shakespearean GPT and Harpoon GPT, a Streamlit Playground, Containerized FastAPI Microservice, training - inference scripts & notebooks.

The repository contains the notebook as well as python implementations of laguange models, from basic naive implementations to Transformers on a simple name dataset. more notebooks and files will be added regularly

This collection of notebooks is based on the Dive into Deep Learning Book. All of the notes are written in Pytorch and the d2l/torch library

This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist on Neural Networks - which we will end up with building GPT.

Collection of Jupyter Notebooks related to Generative AI.

What if GPT could help you notebook?

A miniGPT inspired from the original NanoGPT released by OpenAI. This is a notebook to walk through the decoder part of the transformer architecture with details outlined.

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.

This python notebook lets you fine-tune the GPT model from OpenAI with your own data.

Code refactoring using large language models in Jupyter notebooks

Run Dolly, the world’s first truly open instruction-tuned LLM, with your own prompts on IPUs

This repository showcases the implementation of a chat model using Google Cloud's Vertex AI. The code is presented in a Jupyter Notebook environment and demonstrates how to set up, interact with, and customize a pre-trained chat model.

Python notebook for helping inspire and generate ideas.