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Deploy and fine-tune LLM models on Kubernetes using KAITO

Kubernetes Bytes

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Optimizing LLM Fine-Tuning with Kaito

This chapter explores the use of Kaito on Kubernetes for fine-tuning large language models, highlighting methods like LoRa and Q-LoRa. It also addresses the complexities of managing datasets and model containers, while comparing Kaito's efficiency against traditional Python notebook approaches.

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