Was macht nanochat-llm-training?
Trainieren Sie Ihr eigenes GPT-2-Level-LLM für unter 100 $ mit nanochat, Karpathys minimalem, hackbarem Werkzeug, das Tokenisierung, Vortraining, Feintuning, Evaluierung, Inferenz und Chat-UI abdeckt.
Trainieren Sie Ihr eigenes GPT-2-Level-LLM für unter 100 $ mit nanochat, Karpathys minimalem, hackbarem Werkzeug, das Tokenisierung, Vortraining, Feintuning, Evaluierung, Inferenz und Chat-UI abdeckt.
Diese Fähigkeit ermöglicht es Entwicklern und KI-Agenten, ein eigenes großes Sprachmodell (LLM) auf GPT-2-Niveau für Kosten unter 100 $ zu trainieren. Sie basiert auf nanochat, einem von Andrej Karpathy inspirierten, minimalen und leicht anpassbaren Framework. Die Fähigkeit deckt den gesamten Lebenszyklus eines LLMs ab, einschließlich Tokenisierung, Vortraining, Feintuning, Evaluierung, Inferenz und einer integrierten Chat-Benutzeroberfläche. Sie ist ideal für Entwickler, die mit eigenen Daten trainieren oder Modelle für spezifische Anwendungen verfeinern möchten, ohne teure Cloud-Ressourcen zu benötigen.
npx skills add https://github.com/aradotso/trending-skills/tree/main/skills/nanochat-llm-trainingTrainieren Sie Ihr eigenes GPT-2-Level-LLM für unter 100 $ mit nanochat, Karpathys minimalem, hackbarem Werkzeug, das Tokenisierung, Vortraining, Feintuning, Evaluierung, Inferenz und Chat-UI abdeckt.
This repo contains 20 individual skills — each has its own dedicated page.
Self-evolving AI agent system with 26 tools, three-layer memory, MCP plugins, and 24/7 self-repair in pure Python.
A collection of specialized AI agent personalities for Claude Code, Cursor, Aider, Windsurf, and other AI coding tools — covering engineering, design, marketing, sales, and more.
Headless browser automation CLI for AI agents using native Rust binary with Chrome DevTools Protocol
AI coding agent skill for Antigravity Manager — a Tauri v2 + Rust desktop app and Docker service that manages multiple Google/Anthropic accounts and proxies them as standard OpenAI/Anthropic/Gemini API endpoints with intelligent account rotation.
Guide to deploying and managing OpenClaw-compatible AI agent systems across cloud, bare metal, and hybrid infrastructure.
Fully autonomous research pipeline that turns a topic idea into a complete academic paper with real citations, experiments, and conference-ready LaTeX.
Structured prompts, vault templates, and autonomous research workflows for AI-assisted genealogy using Claude Code.
Search and retrieve Norwegian company data from Brønnøysundregistrene (the Norwegian Business Registry). Access all ~1.2 million registered companies in Norway.
Give AI agents access to your live Chrome session via CDP — interact with open tabs, logged-in accounts, and current page state
A Claude Code plugin that displays a real-time HUD showing context usage, active tools, running agents, and todo progress in your terminal statusline.
Enable multiple Claude Code instances to discover each other and exchange messages in real-time via a local broker daemon and MCP server.
Command Line User Interface for Claude Code — a floating macOS desktop overlay with multi-tab sessions, permission approval UI, voice input, and skills marketplace.
AI-native terminal multiplexer with programmable socket API, full Playwright-equivalent browser automation, and agent team coordination — built for Claude Code and autonomous agent workflows
Build a persistent knowledge graph of your codebase so Claude reads only what matters — up to 49x fewer tokens on coding tasks.
Self-directed iterative research skill for Codex that continuously cycles through modify, verify, retain or discard, and repeat until a measurable goal is reached.
Personal AI assistant framework supporting multiple chat channels (DingTalk, Feishu, QQ, Discord, etc.) with extensible skills, local/cloud deployment, and cron scheduling.
AI-powered green screen keyer that unmixes foreground colors and generates clean linear alpha channels using neural networks
Personal intelligence agent that aggregates 27 OSINT data sources into a self-hosted Jarvis-style dashboard with Telegram/Discord bots, LLM analysis, and real-time alerts.
LLM-powered A/H/US stock intelligent analysis system with multi-source data, real-time news, AI decision dashboards, and multi-channel push notifications via GitHub Actions.
Expert skill for using DeepSeek-OCR, a vision-language model for optical character recognition with context optical compression supporting documents, PDFs, and images.
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".