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super neat pipeline, to summarize they:
1. rephrase user-specified task prompt,
2. generate a few (n=25) diverse synthetic training examples (leveraging ICL with large context window to ensure diversity),
3. train model with GRPO + LoRA, using RULER rubrics as reward
30.7.2025
Introducing `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.
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