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Fine-tune Gemma 4 with QLoRA to build a customer support agent that calls tools, handles missing details, and responds to complex requests.

Fine-tune Gemma 4 with QLoRA on the Bitext dataset to build a memory-efficient customer support model using LoRA adapters and TRL.

Learn how to build a fully reproducible multi-stage ML pipeline using DVC, including preprocessing, training, evaluation, and automated reruns.

Learn how DVC brings data and model versioning to MLOps. Track datasets, checkpoints, and pipelines reliably using Git-friendly workflows.