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

A discord chat bot that moderates and rewrite messages

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

Simple GPT Telegram Bot on NodeJS.

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 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

A PDF question answering bot utilizing Streamlit, PyPDF2, LangChain, OpenAI GPT-3 model, and FAISS(Facebook AI Similarity Search). The bot allows users to upload PDFs, query information from their content, and receive relevant answers, enhancing document accessibility and searchability.

Langchain agent with Java and SpringBoot

Finetuned OpenAI gpt-3.5-turbo to mimic sarcasm. Developed a custom knowledge base for RAG system

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

HexGPT is a user interface designed to make it easier to use AI (GPT-3.5-Turbo) to generate color pallets based on a text description (GPT prompt).

Competitive TailwindCSS powered by GPT3.5 in NextJS 13 App router and Typescript

Fullstack AI-powered app that analyzes and tracks users' moods based on their journal entries.