Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Google Cloud bridges the gap in enterprise model alignment with managed reinforcement learning services.
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine...
Google Cloud AI Blog
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Google Cloud's managed reinforcement learning service democratizes advanced model fine-tuning by removing the barrier of needing deep infrastructure access. This evolution allows enterprise teams to align proprietary models with specific organizational goals without managing the underlying complex compute clusters.
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