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How to Fine-Tune LLMs on Your Own Data: Open-Source Models, RL Environments, and Evals

Why post-training open-source models on your own data often beats using frontier models for specialized tasks, and how fine-tuning, RL environments, and evals fit together.

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lunedì 15 giugno 2026·dev.to
How to Fine-Tune LLMs on Your Own Data: Open-Source Models, RL Environments, and Evals
Why post-training open-source models on your own data often beats using frontier models for specialized tasks, and how fine-tuning, RL environments, and evals fit together.