For this run, I spent $0 on the GPU, and 40 cents on OpenRouter credits for prompt generation, RULER ranking, etc.
@mattshumer_
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AutoRL: Train AI Models for Any Task via GitHub
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If you'd like to try it or contribute, check out the Github repo and notebook: https://
github.com/OpenPipe/ART/t
ree/auto-rl?tab=readme-ov-file#-autorl-train-models-for-any-task
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Fast AI Model Training System Delivers Impressive Grammar Results
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It's incredible how quickly you can go from an idea to a fully-trained model with this system. And the resulting models are really good! The grammar model in the demo video works really well, yet it was trained for just minutes, and was only 1.5B params 🙂
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OpenPipe’s RULER Enables LLM Training Without Labeled Data
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Under the hood, this is powered by @OpenPipeAI
's ART library. Their RULER technique made this possible, as it doesn't require labeled output data. With no need for labeled outputs, we can just sample a LLM to generate scenarios to RL against. Absolutely crazy! -
AutoRL: Automated Reinforcement Learning for Model Generation
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How AutoRL works, in a nutshell: – The user describes the model they want
Ex: "A model that detects spelling and grammar errors" – OSS models generate a system prompt that will be used a) to generate, and b) for RULER to rank outputs – We generate input data, and RL a model! -
AutoRL: Simplest Way to Train Task-Specific LLMs
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Introducing `AutoRL` 📈
— Matt Shumer (@mattshumer_) 30 juillet 2025
The world's simplest way to train a task-specific LLM with RL.
*Just write a SENTENCE describing the model you want.*
A chain of AI systems will generate data + rubrics and train a model for you.
Powered by ART, it's open source.
Link in thread: pic.twitter.com/OVxe2hWTZYIntroducing `AutoRL` The world's simplest way to train a task-specific LLM with RL. *Just write a SENTENCE describing the model you want.* A chain of AI systems will generate data + rubrics and train a model for you. Powered by ART, it's open source. Link in thread:
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Training weights in machine learning models explained
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sorry, by train i mean actually updating weights, but i appreciate the comment!
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Training and Fine-tuning Models: Community Discussion Opportunity
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If you train/fine-tune models, I'd love to chat with you. Please comment or DM and I'll reach out!
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Building a Personal Product: From Problem to Solution
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For the first time in a long time, I just built something *I* wanted. It's a really different feeling than building something other people want. I know the problem so well, and will be using the product from day one. This may become a new Otherside product… we'll see!