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 ## Blog Posts
 - [Model Distillation Best Practices](https://googlecloudplatform.github.io/vertex-ai-samples/vertex-training-cluster/model_distillation_best_practices): Explores off-policy model distillation, dataset curation, and hyperparameter scaling laws for training student models on Vertex AI.
 - [Forgetting Mitigation via Data Mixing](https://googlecloudplatform.github.io/vertex-ai-samples/vertex-training-cluster/forgetting_mitigation_data_mixing): Discusses catastrophic forgetting in model fine-tuning and how to mitigate it using multi-domain data mixing on Vertex AI.
+- [Multi-Turn Reinforcement Learning for τ²-bench](https://googlecloudplatform.github.io/vertex-ai-samples/vertex-training-cluster/multi_turn_reinforcement_learning_for_tau2_bench): Explores multi-turn RL training for tool-calling agents using GRPO on the τ²-bench customer service benchmark with NeMo RL.