A Jupyter python notebook to Execute Zapier Tasks with GPT completion via Langchain

An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.

A collection of prompts for use with GPT-4 via ChatGPT, OpenAI API w/ Gradio frontend & notebook

LLM Agent that performs sentiment analysis of drawings and natural language using a combination of Google Gemini Vision model and GPT-4 Turbo with LlamaIndex.

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.

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.

In situ interactive widgets for responsible AI 🌱

Notebook for running GPT-J/GPT-J-6B – the cost-effective alternative to ChatGPT, GPT-3 & GPT-4 for many NLP tasks. Available on IPUs as a Paperspace notebook.

Notebooks for Amadeus Coding dojo on LLMs using Azure OpenAI

A Tool that Allows You Run PyTest within Jupyter Notebook Cells

AI Cookbooks of Various Python Notebooks and code for using AI with various LLM models, UI's and Embeddings

A GPT helper for jupyter notebook. Jot down your needs, the code shall proceed.

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

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

Notebook for Flan-T5 – an alternative to large language models like GPT-3 & GPT-4 for NLP tasks like named entity recognition and text generation.

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

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.

A data analasys application in a Jupyter Notebook that is able to determine the efficiency of the GPT API and BERT in classifying scientific papers.