There are several variations of GPT-3, which range from 125 to 175 billion parameters. The different variations allow the model to better respond to different types of input, such as a question & answer format, long-form writing, human language translations (e.g. English to French). The large numbers of parameters make GPT-3 significantly better…

Code evaluation with *30-seconds-of-code* examples. Inspired by "Evaluating Large Language Models Trained on Code"

Examples of using GPT3

Project for SpartaHack 8

A discord chat bot that moderates and rewrite messages

This app is a ChatGPT Clone using OpenAIs gpt-3.5-turbo Model.

Simple Document Reader, give it a link and it will automatically fetch all the data and give you answer to questions from the docs

A GPT based website to answer our problems as per Shimadbhagwat Geeta and Veda

Lista de tarefas usando VueJS 3, localstorage e Chat GPT

Simple GPT Telegram Bot on NodeJS.

Discord chat bot that uses OpenAI's GPT-3.5 model to generate responses to user messages

The program will take a prompt from the user, send it to the GPT-3 model, and execute the generated command in the terminal.

Python project using a gradio interface to query an online pdf document using langchain

A script that fetches news headlines from an RSS feed, rephrases them while preserving the meaning, using the ChatGPT API.

A chat application built with Next.js. Chat with your friends and use brand new features such as GPT-Advisor to answer texts like never before!

Experimentation with code-generative models using program-of-thought training for low-cost use cases

Data and code to create a news discovery tool for science reporters.