OpenAI ChatGPT AI technology Top Builders

Explore the top contributors showcasing the highest number of OpenAI ChatGPT AI technology app submissions within our community.

OpenAI ChatGPT

The ChatGPT model has been trained on a vast amount of text data, including conversations and other types of human-generated text, which allows it to generate text that is similar in style and content to human conversation. ChatGPT can be used to generate responses to questions, code, make suggestions, or provide information in a conversational manner, and it is able to do so in a way that is often indistinguishable from human-generated text. The initial model has been trained using Reinforcement Learning from Human Feedback (RLHF), using methods similar to InstructGPT, but with slight differences in the data collection setup. The model is trained using supervised fine-tuning, where human AI trainers provided conversations in which they played both sides—the user and an AI assistant. The trainers would have had access to model-written suggestions to help them compose their responses.

General
Relese date	November 30, 2022
Author	OpenAI
API Documentation	ChatGPT API
Type	Autoregressive, Transformer, Language model

Start building with ChatGPT

GPT-3 have a rich ecosystem of libraries and resources to help you get started. We have collected the best GPT-3 libraries and resources to help you get started to build with GPT-3 today. To see what others are building with GPT-3, check out the community built GPT-3 Use Cases and Applications.

👉 Discover more ChatGPT Tutorials on lablab.ai

ChatGPT Links

All important links about ChatGPT in one place

ChatGPT Website Try ChatGPT for yourself. Chat with ChatGPT in your browser.
ChatGPT Blog Post Read the blog post about ChatGPT. Learn more about the model and how it works.
ChatGPT Frequently Asked Questions Read the frequently asked questions about ChatGPT.

ChatGPT Boilerplates

Boilerplates to help you get started" id="boilerplates

GPT-3.5-Turbo Chatbot with cost management A Python-based boilerplate for using OpenAI's GPT-3.5-turbo and GPT-4 model to create a chatbot. This chatbot utilizes the OpenAI API and Tiktoken library to manage tokens and costs.
JS ChatGPT Clone with DALL.E Image Generation A ChatGPT clone using OpenAI's API, DALL-E image generation and Firebase. Built with Node.js, Express, and React.

ChatGPT API libraries and connectors

The ChatGPT API endpoint provides a convenient way to incorporate advanced language understanding into your applications.

ChatGPT API ChatGPT API reference
OpenAI Node.js API library for ChatGPT The OpenAI Node.js library provides convenient access to the OpenAI API from Node.js applications.
OpenAI Python Library for ChatGPT The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language

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OpenAI ChatGPT AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI ChatGPT AI technology, developed by our community members during our engaging hackathons.

Space tour Plan

Space Tour Plan is a comprehensive web-based conversational assistant designed to revolutionize the space tourism industry. Utilizing IBM watsonx Assistant, the platform provides users with detailed information on available space tours, assists in booking and managing reservations, and offers personalized training and pre-flight checklists. The assistant guides users through the entire process, from selecting the perfect tour package to preparing for their journey, ensuring an engaging and stress-free experience. Additionally, Space Tour Plan integrates secure payment gateways and CRM systems to manage user data efficiently. By automating these tasks, the application enhances user satisfaction, streamlines operations for space tourism companies, and paves the way for accessible and organized space travel for enthusiasts worldwide.

Automated marking machine for paper-based homework

Introduction We have designed a machine for correcting paper homework with traceable marks. Based on new large model technology and product forms, it enables one-click scanning, traceable correction, and data analysis of paper homework. It can correct more than 60 sheets of homework per minute, with a cost of about 5 cents per sheet and a correction accuracy rate of over 97%. Currently, it has been deployed at Benyuan Primary School in Shenzhen and Wen San Road Primary School in Hangzhou, having corrected over 10,000 sheets of homework and more than 200,000 questions. Additionally, the system aims to provide teachers with long-term tracking of student progress through data analysis, further enhancing teaching quality and student learning outcomes. Compared to existing photo-based homework correction software, our correction machine achieves one-click batch traceable correction, significantly reducing the workload of teachers in correcting homework. The video has been viewed over 50,000 times on platforms such as Bilibili and Xiaohongshu, with hundreds of teachers actively applying for trials. Innovation We developed a comprehensive AI grading system for school tests, incorporating automated exam paper scanning and question recognition with OCR enhanced and refined by LLM, and AI-generated grading results using Java (backend), Vue.js/JavaScript (frontend), and Junit and Jest(test) Advantages 1.Efficient Correction Handling 2.Intelligent Precision Analysis 3.Practicality of Comprehensive Functions 4.High Accuracy and Low Cost 5.Superior User Experience

PrepAlly

PrepAlly transforms coding interview prep with cutting-edge AI, offering real-time feedback, voice-guided support, and immersive, personalized insights. Using Aria for natural interactions and ElevenLabs for lifelike feedback, PrepAlly builds candidates' confidence and sharpens performance. Open-Source and Community-Driven, it’s built on a modern tech stack and deployed on Vercel for seamless global access. PrepAlly empowers candidates to go beyond routine practice, making each session a powerful step toward interview mastery. Prep smarter, perform stronger, and tackle every coding challenge with clarity and confidence.

ConfigPilot

Network configurations, especially for routers like Cisco, Huawei, and Mikrotik, are often complex, even for experienced IT professionals. Many existing tools are not user-friendly, leaving users dependent on resources like ChatGPT and YouTube tutorials, which can be time-consuming and inefficient. This complexity creates a barrier for small and medium-sized businesses that may not have dedicated IT teams. ConfigPilot addresses this problem by providing an AI-powered web and mobile application that simplifies router setup, automates troubleshooting, and offers secure remote management. Using Meta's Llama 3.2 model, the app intelligently configures devices, detects and resolves issues according to the user queries, and enhances user control over their network infrastructure. This reduces the need for manual intervention and minimizes human error, making network management more efficient. As businesses increasingly seek automated solutions, ConfigPilot taps into a growing market, especially among smaller enterprises. Our future goals include integrating outage prediction capabilities, switch and server configurations enabling users to prepare for or prevent network disruptions, further enhancing reliability. In conclusion, ConfigPilot simplifies router configuration and offers a scalable solution with significant business potential. The app paves the way for more efficient network management, addressing current challenges and future needs in the industry.

LegalBot

LegalBot is an AI powered chatbot with the help of API keys generated by Groq. LegalBot is a chatbot assistant which can provide simplified and details regarding legalese which are terms used in legal services and profession which may not be understood by the common man. The user can enter these terms which they want explanation of in the text box and LegalBot will provide an explanation to them for better understanding. This is helpful for the public who are not based in the legal profession and are looking to get answers regarding such queries. It is an innovative web-application which can easily translate legal jargon.

Collaborative To-Do List Tracker

The Collaborative To-Do List Tracker is an innovative web application designed to enhance productivity through collaborative task management. Built with Node.js and Express, this application allows users to create, delete, and view tasks in real time, making it ideal for teamwork and project management. Users can easily add new tasks, specify due dates, and mark tasks as complete. With a clean and intuitive user interface, the application fosters an environment where teams can share their responsibilities and track progress collectively. The application is accessible from any device with an internet connection, enabling seamless collaboration whether in the office, at home, or on the go. By employing modern web technologies, this To-Do List Tracker not only simplifies the task management process but also encourages accountability and communication among team members. Future enhancements may include user authentication, priority levels for tasks, and integration with calendar services for better deadline management. Overall, the Collaborative To-Do List Tracker aims to streamline productivity and promote teamwork effectively.