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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 dateNovember 30, 2022
AuthorOpenAI
API DocumentationChatGPT API
TypeAutoregressive, Transformer, Language model

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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.

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ChatGPT Boilerplates

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ChatGPT API libraries and connectors

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

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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.

Proof Of Ship

Proof Of Ship

Proof of Ship is the first onchain credit system where market confidence in your ability to ship directly determines your available liquidity. Backers place 1.5x-3x multiplier bets on project milestones using smart contracts on Arc, creating a virtuous cycle of shipping and funding. Key Features: - Milestone Betting: Backers stake USDC on builder milestones with configurable multipliers. Successful delivery returns stake plus multiplier bonus; failed milestones forfeit stake to the pool. - AI Scout Agent: Our pay-per-query AI analyzes projects using GitHub velocity (40%), completeness (30%), and community signals (30%). Cost: just $0.01 per scan, settled via Circle's x402 nanopayment protocol on Arc. - Circle Arc Integration: All payments and settlements happen on Arc Testnet using USDC, with zero gas fees and sub-second confirmation via Circle's batched gateway settlement. - Real-Time Backing Dashboard: Track portfolio positions, projected ROI, and Compass Scores across multiple ecosystems (Base, Arbitrum, Optimism, Linea, Celo). Tech Stack: Next.js frontend, Firebase, Hardhat smart contracts, LiFi for cross-chain, Circle SDK for payments, x402 nanopayments for agent settlement. Demo: Visit proof-of-ship.vercel.app, connect your wallet, and explore the Expedition marketplace to back promising projects or run the AI Scout.

NOMOS — Hire AI Workforces, Paid Per Action

NOMOS — Hire AI Workforces, Paid Per Action

Most people who could benefit from agentic AI today can't access it. Brand managers, e-commerce operators, and marketing leads have real work to ship —but they're stuck on a treadmill of new tools, subscriptions, and paradigms that move faster than anyone can keep up with. And the few teams technically capable of building agent workflows themselves hit a second wall: every subtask gets routed to the most expensive frontier model, and setup costs spiral. NOMOS is a marketplace of AI workforces. Pre-built squads of specialist agents — researchers, analysts, writers, support agents, and more — that anyone can hire in one click to deliver finished business work. No prompts to write, no models to pick, no agents to wire. An optimization engine decomposes each goal into subtasks and routes them to the cheapest capable model, so every run costs a fraction of DIY. The marketplace is two-sided: operators on the demand side, developers and AI builders on the supply side, listing optimized squads and earning every time one is hired. NOMOS becomes the monetization layer for the people who actually build agentic systems — and the place non-AI-native teams come to get work done. For this hackathon, we're integrating Circle's Nanopayments and USDC settlement on Arc as the native economic layer of the platform. Every squad run, every subtask between specialist agents, and every builder payout becomes a sub-cent USDC transaction on Arc. This is exactly the use case nanopayments were built for: high-frequency, micro-value, agent-driven transactions where traditional rails collapse under volume or fees. Arc's predictable, dollar-denominated USDC fees and sub-second finality make per-action metering economically viable for the first time — and unlock NOMOS's broader vision: a marketplace where agents themselves hire squads and pay each other directly. Today: humans hire AI teams. Tomorrow: so do their agents. NOMOS is the marketplace and the payment layer for both.

AgentMesh: Sub-cent Agent Payments on Arc

AgentMesh: Sub-cent Agent Payments on Arc

Every AI agent today shares one subscription. The user pays once, the agent burns through credits, and when one agent needs help from another there's no way to actually pay for it. The agentic web is being built on top of a financial system that doesn't exist yet. AgentMesh fixes that. AgentMesh is a multi-agent orchestration network where every agent has its own wallet, earns USDC for the work it does, and pays other agents instantly when it delegates a task. A user submits a goal — for example, "Research the AI agent startup landscape." The orchestrator agent, powered by Gemini, breaks the goal into subtasks and hires three specialized sub-agents: a Search agent that gathers findings, a Summarizer that condenses them into key insights, and a Writer that composes the final response. Each sub-agent is paid per task in USDC at sub-cent prices: Search costs 0.001 USDC, Summarize 0.002 USDC, Write 0.005 USDC. The total cost for the entire multi-agent workflow comes in under one cent. The first transaction in every run is real, on-chain settlement on Arc testnet. The user pays the orchestrator a 0.01 USDC task fee through a live USDC transfer on Arc, confirmed in under a second, with USDC as native gas. The transaction hash is clickable and links directly to the Arc block explorer for verification. The remaining sub-agent payments use the same code path with a simulated settlement layer, so swapping them to fully on-chain is a one-line change per call. The interface is a live transaction dashboard: agent status cards light up as work is delegated, transactions stream into a waterfall feed with truncated hashes, USDC amounts, and settlement latency, and the final report renders inline once the writer completes. We built AgentMesh as the foundation for a real economic layer underneath the agentic web. Not subscriptions. Not pre-paid API keys. Programmable, sub-cent, sub-second payments between autonomous agents.

Axon Layer

Axon Layer

Axonlayer: The Private Execution Fabric for the Agentic Economy The Problem Traditional AI agent ecosystems are fundamentally broken by two things: fragmentation and high transaction costs. Current models rely on closed APIs or manual marketplaces where users must play "orchestrator," picking specific agents for every sub-task. Furthermore, the economic settlement for these agents is stagnant; traditional blockchain gas fees often exceed the cost of the AI's actual work, making micro-services and nanopayments impossible. Our Solution Axonlayer introduces a "Mission-based" UX that shifts the focus from endpoints to outcomes. Instead of browsing a directory, users fund a specific goal with a USDC budget. Our intelligent orchestrator then routes the task through a private execution fabric of specialized agents. These agents are not browseable; they are autonomous workers that collaborate to deliver a result. The Arc Advantage We built Axonlayer on Circle Arc because it provides the only settlement layer capable of handling per-action billing at scale. By leveraging Arc and the Circle App Kit, we enable real on-chain USDC transactions for fractions of a cent. This allows for a high-frequency economy where agents are paid instantly for every step they complete, ensuring total transparency and economic alignment without custodial friction. The Tech Stack & Future Axonlayer is built with a production-ready architecture featuring: Idempotency keys for mission reliability. Typed agents for precise capability routing. Staking primitives where operators lock USDC to guarantee quality (slashed on bad output). Moving forward, we are expanding into cross-mission composition, allowing agents to autonomously subcontract work to one another, creating a truly infinite, decentralized agentic workforce.

Arc Nano Agent Marketplace

Arc Nano Agent Marketplace

Arc Nano Agent Marketplace is a decentralized marketplace for AI micro-services, built on the Arc blockchain with USDC as the settlement currency and Circle Nanopayments as the payment infrastructure. The problem it solves: AI agents today have no economic accountability. A single agent task can trigger dozens of unnecessary API calls, web searches, and model inferences — each costing far more than it should, with no transparency or control over per-action pricing. The solution: A marketplace where every agent service call is priced at exactly $0.001 USDC and settled atomically on-chain. No batching, no subscriptions, no gas overhead eating into margins. Each request triggers a real Arc blockchain transaction, confirming in under a second with deterministic fees. Services available in the marketplace: - Binance Live Prices: Real-time BTC, ETH, SOL valuations via Binance API - Stock Market Intel: Live equity data via Alpha Vantage - AI News Digest: Latest headlines summarized by Llama 3.3 70B via Groq - AI Image Vision: Vivid image descriptions generated by AI - Weather & Location: Current conditions for any city Technical stack: Node.js/Express backend, React 19 + TypeScript + Tailwind CSS frontend, ethers.js v6 for Arc transactions, Binance and Alpha Vantage APIs for live market data, Groq Llama 3.3 70B for AI services. Every transaction is verifiable on the Arc Block Explorer. The marketplace demonstrates 50+ on-chain micropayments at $0.001 each — proving that per-action agent pricing is economically viable at scale with Circle Nanopayments on Arc.

NanoForge – Pay-per-use AI Platform

NanoForge – Pay-per-use AI Platform

NanoForge is a micro-payment powered AI platform that allows users to access intelligent tools on a pay-per-use basis instead of costly subscriptions. Users can generate product descriptions and social media captions using a credit-based system that simulates nano-transactions. The platform demonstrates how micro-payments can make AI services more accessible, scalable, and cost-efficient. It also introduces a developer-friendly API model for integrating AI services with usage-based pricing. NanoForge explores the concept of an agent-driven economy where AI tools can be accessed dynamically, reducing unnecessary costs and enabling fair usage for students, developers, and small businesses.