ChatGPT

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Explore the top contributors showcasing the highest number of 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.

AUDIAW

AUDIAW is a free and open-source Digital Audio Workstation (DAW) built for modern music production. It allows users to record, edit, arrange, mix, and produce music using professional tools without paying for expensive software. Unlike many traditional DAWs, AUDIAW is designed to be fast, lightweight, cross-platform, and community-driven. The goal is to give creators powerful music production tools that are accessible to everyone, from beginners making their first beat to professional producers working on large projects. AUDIAW includes multi-track audio recording and editing, MIDI composition and piano roll editing, arrangement timelines with draggable clips, mixer systems with routing and automation, sample browsing, asset management, portable .audiaw project files, autosave and crash recovery systems, WAV export, live playback tools, and a modular plugin-ready architecture. The application is built using Rust for the audio engine and backend systems, React and TypeScript for the UI, and Tauri for lightweight cross-platform desktop support across Windows, macOS, and Linux. AUDIAW focuses heavily on low-latency realtime audio processing, stable and scalable architecture, fast workflow systems, responsive UI interactions, and a clean modern user experience designed to keep creators focused on creativity instead of complicated software. The project is built for music producers, beat makers, audio engineers, independent artists, and developers interested in audio technology. AUDIAW is not just a free alternative to existing DAWs — it is an attempt to build a modern, powerful, and accessible music production platform without the limitations of expensive and closed software ecosystems.

DeepSeek Bug Hunter

Every frontend developer knows the nightmare: you push a seemingly perfect website, but on a different screen size, the button overlaps the text. On Safari, the form breaks. On mobile, the image floats nowhere. Fixing these bugs takes hours of manual inspection, browser DevTools clicking, and guesswork. Junior developers waste entire sprints on CSS alignment. Senior developers waste mental energy on what should be automated. DeepSeek Bug Hunter eliminates this waste. It is a web application where you enter any live URL. Behind the scenes, our system launches a headless browser, captures the page, extracts the DOM, console logs, network errors, and visual screenshots at multiple viewports (mobile, tablet, desktop). Then we send all this data to DeepSeek's advanced code-understanding model – not a generic LLM, but a model specifically trained on frontend code, CSS layouts, and responsive design patterns. DeepSeek analyzes the page for 15+ bug categories: overlapping elements, z-index conflicts, missing ARIA labels, broken image alt text, JavaScript console errors, slow resource loading, flexbox/grid misalignments, overflow issues, fixed positioning breaking on scroll, and more. For each bug found, DeepSeek generates the exact corrected HTML, CSS, or JavaScript code – not a suggestion, but production-ready code you can copy-paste and deploy. We augmented DeepSeek with IBM Bob for repository context. When you connect your GitHub repo, Bob reads your entire codebase, understands your component structure, and ensures DeepSeek's fixes match your existing coding style, naming conventions, and build setup. Bob also auto-generates a pull request with the fixes, complete with before/after screenshots. Finally, we use OpenAI Codex (or GitHub Copilot) to generate unit tests for the fixed components, ensuring the bug never returns. This is not just another "AI code generator." This is an AI bug hunter that sees what humans see but fixes it instantly.

Nexova AI

Nexova AI is a full-stack enterprise intelligence platform designed to help modern businesses monitor operations, analyze revenue, manage inventory, forecast trends, and interact with company data through a powerful AI assistant. The platform combines real-time business analytics with AI-driven insights inside a modern enterprise dashboard experience. Users can track revenue, orders, contracts, inventory levels, and forecasting data through interactive visualizations and intelligent automation workflows. One of the core innovations of Nexova AI is the integrated AI Agent system powered by Google Gemini 1.5 Flash. The AI assistant can analyze operational data, answer questions about revenue trends, detect inventory risks, summarize contracts, generate reports, and provide forecasting insights using real business context from Supabase. The application was designed with resilience and demo reliability in mind. If external AI services fail or API limits are reached, the system automatically falls back to intelligent rule-based responses using real Supabase business data. This ensures the application never crashes during demonstrations or production scenarios. Key features include: - Enterprise analytics dashboard - AI-powered operational assistant - Revenue forecasting engine - Inventory intelligence and stock alerts - Contract analysis with AI summaries - Real-time Supabase integration - PDF/export/share workflows - Responsive SaaS UI with premium animations The platform uses React, TypeScript, Vite, Tailwind CSS, Supabase, Gemini AI, Recharts, Framer Motion, and Lucide React to deliver a production-style enterprise experience. Nexova AI demonstrates how AI agents can transform enterprise operations by making business intelligence more accessible, conversational, and actionable.

BobGoblin-AI QA Chaos Goblin

Developers often spend hours manually testing critical application flows before every release, especially after small code changes that can unexpectedly break checkout systems, APIs, authentication, or frontend interactions. This repetitive regression testing slows deployments, increases release anxiety, and still allows production bugs to slip through. BobGoblin solves this problem by acting as an AI powered release intelligence platform that automates regression analysis and deployment validation. It analyzes Git code changes, identifies impacted business flows, and uses IBM Bob to automatically generate enterprise grade Playwright regression test suites covering happy paths, edge cases, invalid inputs, API failures, loading states, and accessibility checks. BobGoblin then executes these tests, detects release risks, surfaces unstable QA contracts, and provides deployment recommendations through a watsonx inspired analysis layer. Instead of manually clicking through applications before every deployment, developers get an intelligent AI assisted QA workflow that accelerates release confidence and improves software reliability. The platform also helps teams identify cascading failures early by tracing issues back to shared frontend or backend dependencies, allowing engineers to focus on the real root cause instead of debugging dozens of failing scenarios manually. By combining AI generated regression planning with automated browser testing and release risk analysis, BobGoblin transforms traditional QA into a faster, smarter, and more scalable engineering workflow. Designed for modern development teams, BobGoblin brings together AI assisted testing, deployment governance, and release visibility into one unified platform, helping teams ship faster with greater confidence.

Air Draw With IBM Bob

Air Draw with IBM Bob is an innovative computer vision project that allows users to draw and write in the air using simple hand gestures. The system uses a webcam to track finger movements and convert them into digital drawings on a virtual board in real time. It eliminates the need for physical touchscreens, pens, or boards, making interaction more natural and interactive. The project is built using computer vision techniques and image processing libraries to accurately detect and follow hand motion. Air Draw with IBM Bob can be used for education, presentations, creative design, and interactive learning, offering a modern and engaging drawing experience.

Harmonia

Harmonia is a proof-of-concept triage tool built for the IBM Bob Hackathon. It helps hackathon and developer communities turn messy support chatter into structured engineering work. Instead of forcing developers to manually read scattered complaints, duplicate bug reports, unclear feedback, and missing-context messages, Harmonia loads synthetic support data, groups related reports into issue clusters, assigns category and severity metadata, and generates engineering-ready tickets. Each ticket includes a clear title, summary, evidence from the support messages, likely affected files, acceptance criteria, a test plan, documentation notes, and an IBM Bob-ready task prompt. The project aligns with the hackathon theme, “Turn idea into impact faster,” by shortening the path from community signal to actionable development work. IBM Bob was used as the primary AI development partner for planning, implementation, review, documentation, and refinement, with exported Bob session reports included in the repository.