Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
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Why it matters
A practitioner who built an RL and fine-tuningTaking a trained model and training it a bit more on your own examples so it gets better at one specific job.Full definition → product explains why RL became the method that stuck, which informs when to fine-tune agents.
Terms in this piece · Glossary
fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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