## Blog posts

### December 1, 2025

### Adaptive ML Trains Gemma 3 for Exceptional Multilingual Results

Featured on Google DeepMind's Gemmaverse, this case study highlights our work with SK Telecom to train a multilingual customer service moderation model using Gemma 3 4B. SK Telecom needed a solution that could handle both English and Korean across its 23 million subscribers, while keeping costs and latency low.

Using Adaptive Engine's reinforcement learning capabilities, the fine-tuned Gemma 3 4B model met or exceeded the performance of much larger proprietary and open models at a fraction of the cost, making it a compelling choice for production-scale customer service moderation.

### References
- [Adaptive Engine](/content/engine/index.html)
- [Adapt](/content/engine#adapt/index.html)
- [Evaluate](/content/engine#evaluate/index.html)
- [Serve](/content/engine#serve/index.html)
- [Use Cases](/content/post/adaptive-ml-trains-gemma-3-for-exceptional-multilingual-results#/index.html)
- [RAG](/content/use-case/rag/index.html)
- [Text-to-SQL](/content/use-case/text-to-sql/index.html)
- [Customer Support](/content/use-case/customer-support/index.html)