System Prompt Learning – LLMs Learn Problem-Solving from Experience
I built a system that lets LLMs automatically learn and improve problem-solving strategies over time, inspired by Andrej Karpathy's idea of a "third paradigm" for LLM learning. The basic idea: instead of using static system prompts, the LLM builds up a database of strategies that actually work for different problem types. When you give it a new problem, it selects the most relevant strategies, applies them, then evaluates how well they worked and refines them. For example, after seeing enough word problems, it learned this strategy: 1) Read carefully and identify unknowns, 2) Define…
System Prompt Learning – LLMs Learn Problem-Solving from Experience launched on June 2, 2025 with 48 votes, #558 of 7,999 launches that month and more than 90% of that year's launches.
In plain words
System Prompt Learning is a framework that enables large language models to automatically build and refine problem-solving strategies over time rather than relying on static prompts. The system creates a database of effective strategies for different problem types, selects relevant approaches for new tasks, and iteratively improves them based on performance. Strategies are stored as readable JSON for inspection and modification. It is designed for developers and researchers working with LLMs who want to optimize model performance on structured tasks like mathematics.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I built a system that lets LLMs automatically learn and improve problem-solving strategies over time, inspired by Andrej Karpathy's idea of a "third paradigm" for LLM learning. The basic idea: instead of using static system prompts, the LLM builds up a database of strategies that actually work for different problem…
Does a similar job
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Hey everyone! Along with my team, I've developed a reinforcement learning system that automatically optimizes LLM prompts, complete with a visualization feature to track both prompt structure and learning progress over time. Take a look here: https://nomadic-ml.github.io/nomadic/cookbooks/Nomadic_Promp... Check out our website too:https://www.nomadicml.com/ In terms of how this visualization works: The RL Prompt Optimizer employs a reinforcement learning framework to iteratively improve prompts used for language model evaluations. At each episode, the…
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