LFM2-350M
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Fine-tuning LM for Browser Control with GRPO
Read Full Article: Fine-tuning LM for Browser Control with GRPO
Fine-tuning a small language model (LM) for browser control involves using reinforcement learning techniques to teach the model how to navigate websites and perform tasks such as clicking buttons, filling forms, and booking flights. This process leverages tools like GRPO, BrowserGym, and LFM2-350M to create a training pipeline that starts with basic tasks and progressively scales in complexity. The approach focuses on learning through trial and error rather than relying on perfect demonstrations, allowing the model to develop practical skills for interacting with web environments. This matters because it opens up possibilities for automating complex web tasks, enhancing efficiency and accessibility in digital interactions.
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