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.

AfriLearn AI Tutoring Platform

Schools in Africa have several needs. We want to focus on the lack of adequate infrastructure and the limited access to modern technologies, which restricts students' ability to participate in online learning programs or access digital educational resources. AI-powered platform. Initially developed on Streamlit for rapid prototyping, this platform integrates multiple technologies to deliver an educational experience rooted in African culture. It leverages OpenAI’s GPT-3.5 for a multilingual chatbot that answers questions using culturally relevant African examples. Stability AI generates localized visual lessons, such as science diagrams featuring native plants, while ElevenLabs provides text-to-speech functionality for audio responses. Additionally, the mentorship system organizes requests in a CSV database and includes an admin dashboard for managing student needs.

AI-Driven Zabbix for School Networks

Our project integrates AI with Zabbix to develop an intelligent network monitoring and diagnostic system tailored for educational institutions. Schools rely heavily on stable internet connectivity for digital learning, online assessments, and cloud-based applications. However, network issues such as downtime, high latency, or bandwidth constraints can disrupt these activities. To address this, we enhance Zabbix with AI-powered analysis using Orca Mini and GPT-4. Our system detects, analyzes, and diagnoses network problems in real time, providing automated insights and recommendations to IT administrators. The AI assistant runs on Windows, communicating with a Zabbix server on Ubuntu via SSH, ensuring seamless interaction between AI and network monitoring tools. When an issue arises, Zabbix detects the alert, and the AI assistant processes logs, configurations, and network metrics to determine potential root causes. It then generates detailed recommendations for resolution, helping IT teams act faster and prevent prolonged downtime. The system also supports predictive analytics, identifying trends that may lead to future network failures and suggesting proactive solutions. This AI-enhanced network management drastically reduces IT workload, optimizes resource allocation, and ensures continuous, high-quality connectivity for students, teachers, and administrators. By making network troubleshooting faster and smarter, our project empowers schools with self-healing, AI-driven infrastructure that supports modern education and digital transformation. 🚀

Eco friendly shopping assistant

The Eco-Friendly Shopping Assistant is a tool designed to help consumers make more sustainable and environmentally-conscious purchasing decisions. By providing access to a wide variety of eco-friendly products, the assistant allows users to search for items based on eco-friendly attributes like organic, fair trade, or eco-certified labels. Additionally, it offers carbon footprint calculations for products, allowing users to understand the environmental impact of their purchases. The project uses APIs to gather data on various products and their sustainability features, promoting a greener lifestyle by empowering shoppers to choose products that align with their environmental values.

Geonetwork Infrastructure Planning and Procurement

gNIPP is an AI-powered network infrastructure analysis tool designed to provide insights into network tower distribution, coverage, and signal strength. The platform allows users to visualize network tower data on an interactive map while summarizing key statistics for better decision-making. It leverages AI capabilities to analyze current network infrastructure and create strategies to develop underserved regions. It utilizes RAG and Agentic AI capabilities to provide reliable data regarding definitions of different keywords and procurement policies. gNIPP processes network tower data and uses geographical information about schools to analyze the wireless network infrastructure available to these regions. - Curated Dataset for School geographical information and details regarding their network performance made available through Giga School Mapping Data - Using OpenCellID API to fetch Network Tower Data around a specific bounding box of latitude and longitude - Utilize Gemini API to analyze the network performance and availability - Provide Heatmap of underserved regions based on key network performance metrics allowing users to quickly identify key regions of interest - Use AI Agent to access wikipedia allowing users to get access to correct information regarding keywords and jargon - Use RAG to access gppd data and extract procurement information of various countries.

NetConnect

Public Sector Network Connectivity Analyzer The Public Sector Network Connectivity Analyzer is a comprehensive solution designed to address the critical need for reliable network monitoring across public institutions. Our application serves as an essential tool for IT administrators managing connectivity infrastructure for schools, healthcare facilities, government offices, libraries, and other public service organizations. Core Capabilities Real-Time Network Visualization Interactive diagrams and topology maps provide clear visibility into how public institutions are connected, displaying network elements, connection points, and infrastructure components with intuitive visualization tools. Performance Monitoring System Our platform continuously tracks vital network metrics including uptime percentages, latency measurements, bandwidth utilization, and connection status across the entire public sector network, enabling proactive management. Advanced Simulation Engine IT professionals can run comprehensive simulations to test network resilience under various scenarios such as increased user loads, infrastructure failures, or cyber incidents, helping identify vulnerabilities before they impact critical services. Institution Management Portal Administrators can efficiently manage information about connected institutions, monitor their connection status in real-time, and access detailed performance metrics through a unified dashboard interface. Geographic Mapping Integration Our system incorporates geographic visualization capabilities to display the physical distribution of institutions and network infrastructure across regions, facilitating better resource allocation and planning. Technical Implementation This solution addresses the unique challenges faced by public sector organizations that require reliable connectivity for delivering essential services to communities, while providing the tools needed to ensure network resilience, performance, and security.

PublicConnect AI and Blockchain Network Optimizer

PublicConnect tackles connectivity crises in underserved regions, where unstable internet disrupts education, healthcare, and governance. Schools face e-learning outages, clinics endure telemedicine delays, and governments struggle to deliver digital services. Our solution integrates AI-driven optimization, blockchain transparency, and renewable energy into a unified platform, transforming connectivity into an equitable resource. Core Innovation Evolving from a basic AI-blockchain manager, PublicConnect now leverages ICP and Kybra to build a decentralized, low-cost infrastructure. Key features: AI Resilience: GPT-4 predicts traffic spikes and reroutes bandwidth; self-healing networks prevent outages. Blockchain Governance: DAOs enable schools, clinics, and NGOs to vote on network policies via ICP smart contracts, ensuring democratic resource allocation. Renewable Integration: Solar/wind-powered hubs with AI energy monitoring reduce costs and emissions. Technical Breakthroughs Migrated to Kybra for 100% on-chain logic, slashing backend costs by 70% via ICP’s reverse gas model. Replaced passwords with ICP Internet Identity for secure biometric logins. Validated scalability across 10,000+ nodes via Mininet simulations. Impact Education: Uninterrupted e-learning with exam-time bandwidth prioritization. Healthcare: Solar-backed telemedicine sustains care during outages. Transparency: Donors track funds on-chain; communities govern via DAOs. Scalability & Sustainability Revenue Model: Subscriptions, pay-per-use add-ons (e.g., disaster recovery), and an open-source plugin marketplace. Renewable Roadmap: Pilot 10 solar hubs by 2025, scaling to 500 by 2027 via blockchain crowdfunding. PublicConnect is a movement to democratize connectivity. By merging AI, blockchain, and renewables, we bridge the digital divide, fostering transparency, sustainability, and resilience.