Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Meet NickAI. The first agentic trading operating system. Build AI agents that trade crypto, stocks and prediction markets 24/7. No code. No emotion. Multi LLMs consensus. Institutional grade, backed by Galaxy Coming onchain, powered by Snapshot Try it today: Comment “NickAI” to get free credits.

45,032 Aufrufe • vor 4 Monaten •via X (Twitter)

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

The very first Agentic Oracle is now live! Developers, create your own prediction markets with our CLI powered by the Agentic Oracle in minutes: Updated GitHub: Updated documentation: Core Features: Oracle System: - AI-powered permissionless oracle with autonomous research agents - TLS verification and SHA-256 hashing for data integrity - IPFS proof storage for immutable audit trails - Multi-source consensus and cross-verification - Cryptographic verification of all data sources Prediction Markets: - Binary (Yes/No) and multi-outcome market support - On-chain settlement with stake-weighted governance - Order book markets with limit/market orders - Automated Market Maker (AMM) integration - Dynamic outcome slot pricing SDK Package (sora-oracle): - TypeScript SDK with full type safety - Wallet client integration (ethers.js) - Market creation and management APIs - Order placement and position tracking - Real-time orderbook queries CLI Tools (sora-oracle-cli): - create-prediction: Deploy new prediction contracts - create-market: Create binary markets with oracle scheduling - list-predictions: Query indexed contracts - config: Manage settings (auto-populated except privateKey) Smart Contracts: - 24 production-grade contracts on BSC Mainnet - OpenZeppelin v5 security (ReentrancyGuard, access control) - UUPS upgradeable proxy pattern - Pausable mechanisms and input validation Payments & Credits: - HTTP 402 micropayments via S402Facilitator - USDC on BNB Chain support - 10x parallel transaction speedup with MultiWalletS402Pool - API credit system with tiered pricing

Sora 🔶

120,425 Aufrufe • vor 7 Monaten

New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!

Andrew Ng

127,724 Aufrufe • vor 1 Jahr