Interactive Demo
AutoResearch: The 5-Minute Optimization Loop
AutoResearch: The 5-Minute Optimization Loop is a free, interactive learning demo from the Autoresearch: Autonomous AI Research Framework course on Lykke. It helps you build intuition for CUDA/MPS/ROCm Support, GitHub Actions CI/CD, Copilot AI Code Review, Distributed Compute. Play with it directly in your browser — it features 2 dropdowns, 1 button and a live visual canvas. Select a backend to start. This demo lives in the “Hardware Optimization and Open Source Ecosystem” section of the course.
How to use this demo
- Select a backend to start.
- Use the “Run 5-Min Training Burst” button to trigger actions or reset the demo.
- Pick an option from the dropdown to switch between scenarios.
- Experiment freely — there's nothing to break, and every change is reversible.
What you'll explore
- CUDA/MPS/ROCm Support
- GitHub Actions CI/CD
- Copilot AI Code Review
- Distributed Compute
Frequently asked questions
What does the AutoResearch: The 5-Minute Optimization Loop demo do?
Adapting the framework for diverse hardware and the role of community contributions. AutoResearch: The 5-Minute Optimization Loop turns that idea into something you can manipulate directly and watch respond.
What Autoresearch: Autonomous AI Research Framework concept does AutoResearch: The 5-Minute Optimization Loop teach?
Adapting the framework for diverse hardware and the role of community contributions. It focuses on CUDA/MPS/ROCm Support, GitHub Actions CI/CD, Copilot AI Code Review, Distributed Compute from the “Hardware Optimization and Open Source Ecosystem” section.
What can I control in AutoResearch: The 5-Minute Optimization Loop?
A dropdown switches between scenarios; the “Run 5-Min Training Burst” button run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.
How does AutoResearch: The 5-Minute Optimization Loop fit into the Autoresearch: Autonomous AI Research Framework course?
Autoresearch is an experimental framework developed by Andrej Karpathy that enables AI agents to autonomously conduct LLM research by iteratively modifying training code. The system utilizes a fixed five-minute training… This demo is the interactive piece for the “Hardware Optimization and Open Source Ecosystem” section. Open the full Autoresearch: Autonomous AI Research Framework course wiki at https://www.getlykke.com/explore/public/autoresearch-autonomous-ai-research-framework-41216b8f-5a7e-4e9e-bb27-4c25e8cb3bb3 for notes, flashcards, quizzes and the other demos.
What will I understand better after using AutoResearch: The 5-Minute Optimization Loop?
You'll build intuition for CUDA/MPS/ROCm Support, GitHub Actions CI/CD, Copilot AI Code Review, Distributed Compute — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on Autoresearch: Autonomous AI Research Framework alone.
From the Autoresearch: Autonomous AI Research Framework course
This interactive demo is part of the Hardware Optimization and Open Source Ecosystem section. Explore the full Autoresearch: Autonomous AI Research Framework course wiki on Lykke — with notes, flashcards, quizzes and more interactive demos.
Open the Autoresearch: Autonomous AI Research Framework course →