Reinforcement learning improves an agent through trial and error: it acts in an environment, receives rewards or penalties, and adjusts its strategy to maximise the gain. In the form of RLHF (reinforcement learning from human feedback), it is also a key step in aligning large language models.
In practice at Gensai
Gensai follows these techniques closely: they explain much of the behaviour of the models the agency integrates.
Going beyond the definition?
From concept to project: Gensai builds custom, sovereign, GDPR-compliant AI solutions.
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