Google Cloud packages RL fine-tuning for Gemini

Google Cloud has made managed reinforcement-learning fine-tuning for Gemini available, with a guide that names 5 production use cases from executable SQL/API calls to HTML slide generation. Its RL fine-tuning guide says customers supply prompts and a reward function while Google runs the training infrastructure and proprietary model internals, and warns that RLFT amplifies skills the base model already shows rather than teaching absent capabilities. Operators should try prompting and supervised fine-tuning first, then use RLFT when outputs are easy to grade but expensive to author—an adaptation choice distinct from same-model harness economics.